GeoNode Local GeoServer

Global administrative boundaries, level 0 (Country) (geonode:_2020_global_adm0)

This dataset has been created by EME GIS unit using the best available datasets at country scale and merged together at a global scale. It is the official WFP reference for administrative boundaries.

Global administrative boundaries level 2 (geonode:_2020_global_adm2)

This dataset has been created by EME GIS unit using the best available datasets at country scale and merged together at a global scale. The data has been validated by WFP RBs and COs. It is the official WFP reference for administrative boundaries.

Global administrative boundaries level 4 (geonode:_2020_global_adm4)

This dataset has been created by EME GIS unit using the best available datasets at country scale and merged together at a global scale. The data has been validated by WFP RBs and COs. It is the official WFP reference for administrative boundaries.

_20apr08074540_s2as_r2c3_012701709010_01_p001 (geonode:_20apr08074540_s2as_r2c3_012701709010_01_p001)

No abstract provided

Utilization: Prevalence of acute malnutrition among children under five years old, National Demographic and Health Survey 2012 (geonode:acute_malnutrition)

No abstract provided

admin_2_gaul_2015 (geonode:admin_2_gaul_2015)

Afghanistan District Boundaries (geonode:afg_bnd_admin2_cso)

No abstract provided

ICA Afghanistan, 2016 - ICA Categories & Areas (geonode:afg_ica_areas_categories_geonode_20160617)

This layer contains information about the final classification deriving from the Integrated Context Analysis (ICA) run in Afghanistan in 2016, showing the areas of convergence between recurrence of food insecurity and propensity to natural shocks.

ICA Afghanistan, 2019 - Drought hazard, 2013-2018 (geonode:afg_ica_droughthazard_geonode_20190516)

This layer contains information about the drought hazard estimated during the Integrated Context Analysis (ICA) performed in Afghanistan in 2019. Data source: HQ VAM Analysis of NDVI, NASA Terra MODIS 2013-2018. The key indicator used for the purposes of the analysis was the average number of poor growing seasons observed in the time frame of interest - by definition, in the context of this specific analysis, it is considered a poor growing season when the NDVI observed in the single year is significantly below (less than 85%) the long-term average, calculated over the last 18 years.

ICA Afghanistan, 2016 - Estimated Numbers of Food Insecure People, 2007/08-2014 (geonode:afg_ica_estimatedfipeople_geonode_20160617)

This layer contains informaton about the estimated number of food insecure people for long-term planning deriving from the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: NRVA 2007/08, ALCS 2011/12, ALCS 2014.

ICA Afghanistan, 2016 - Food Insecurity Risk, 2007/08-2014 (geonode:afg_ica_filevel_geonode_20160617)

This layer contains information about the food insecurity levels estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: National Risk and Vulnerability Assessment (NRVA) 2007/08, Afghanistan Living Condition Survey (ALCS) 2011/12 and 2014. To assess the food security trend, the threshold was set to 30% because very close to the national average according to the three assessments considered. The key indicators used for the analysis were the recurrences above the threshold, the average against national average and variability/stability.

ICA Afghanistan, 2016 - Land Degradation, 2001-2012 (geonode:afg_ica_landdegradation_geonode_20160617)

This layer contains information about the land degradation phenomenon observed calculated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: HQ OSEP GIS Analysis of NASA MODIS 2001-2012. The key indicators used for the analysis were the average ecological change and the surface area prone to erosion.

ICA Afghanistan, 2019 - Landslide hazard, 2013 (geonode:afg_ica_landslidehazard_geonode_20190516)

This layer contains information about the landslide hazard estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2019. Data source: UNEP/UNISDR Global Assessment of Risk (GAR), 2013. The key indicators used for the analysis were the percentage of surface area affected by landslide risk and the maximum expected frequency of landslide events.

ICA Afghanistan, 2019 - Prevalence of Global Acute Malnutrition (GAM), 2018 (geonode:afg_ica_malnutrition_geonode_20190516)

This layer contains information about the malnutrition levels observed during the Integrated Context Analysis (ICA) run in Afghanistan in 2019. Data source: Afghanistan Health Survey (AHS), 2018. The key indicator used for the purposes of the analysis was the prevalence of Global Acute Malnutrition (GAM) in children below 5 years of age.

ICA Afghanistan, 2016 - Natural Shocks Risk (geonode:afg_ica_naturalshocksrisk_geonode_20160617)

This layer contains information about the natural shocks risk (floods, droughts and landslides) estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: NATO GHM 2009, HQ VAM Analysis of CHIRPS RFE 2011-2015, UNEP/UNISDR GAR 2013,

ICA Afghanistan, 2016 - Rapid On-Set Shocks Risk (geonode:afg_ica_rapidonsetshocks_geonode_20160617)

This layer contains information about the risk of rapid on-set shocks (floods and landslides) estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: NATO Global Hazard Model 2009, UNEP/UNISDR GAR 2013.

ICA Afghanistan, 2019 - Recurrence of Total Food Insecurity, 2007-2018 (geonode:afg_ica_totalfirec_geonode_20190516)

This layer contains information about the recurrence of total food insecurity estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2019. Data source: National Risk and Vulnerability Assessment (NRVA) 2007/08, Afghanistan Living Condition Survey (ALCS) 2011/12, 2014 and 2017/18. To assess the food security trend, the threshold was set to 30% because very close to the national average according to the four assessments considered. The key indicator used for the analysis was the recurrence of food insecurity above the threshold.

Afghanistan Border Crossing Points (geonode:afg_poi_bcp_wfp)

The data shared by HQ -GIS Unit and shared with WFP Afghanistan Security Focal point for the final update March 2015.

Afganistan Roads (geonode:afg_trs_roads_wfp)

This layers shows roads in Afghanistan

Afghanistan: 5km Buffer from settlements -June 2019 (geonode:afg_wfp_5kmbuffer_20190627_geo_node)

Each cluster of settlements which fall under the control of one group (e.g. the eastern part of the district, the central valley in the district), a shaded ‘buffer’ will be generated, with a standardized radial distance of 5km, to help clearer visualization of areas of control.

District Accessibility for WFP and WFP Partners - January 2016 (geonode:afg_wfp_access_20161801_1)

Accessibility information by WFP Operation/Security Units, January 15, 2016

Afghanistan: District Accessibility for WFP and Partners Staff as of 23 January 2019 (geonode:afg_wfp_access_20190123)

Accessibility information by WFP Operation/Security Units, January 23, 2019.

Afghanistan: District Accessibility for WFP and Partners Staff as of 07 March 2019 (geonode:afg_wfp_access_20190307)

Accessibility information by WFP Operation/Security Units, March 07, 2019.

Afghanistan Access Issues since September 2015 (geonode:afg_wfp_access_may2016)

Analysis of access constraints, accessibility & (when available) the predominant groups of control.

Afghanistan: Areas of control by settlement - April 2019 (geonode:afg_wfp_areas_control_20190403)

Areas of control by settlement have been provided by WFP Afghanistan Security Unit and Access Team from the Area and Sub-Office - April 2019

Afghanistan: Area of Control for WFP Offices Coverage - September 2019 (geonode:afg_wfp_areasc_20190908_geo_node)

Areas of control by settlement have been provided by WFP Afghanistan Security Unit and Access Team from the Area and Sub-Office - September 2019

Afghanistan: Prevalence of Wasting( Global Acute Malnutrition (GAM)) (geonode:afg_wfp_gam_20191112)

Data sources: NNS 2013, SMART (2015 - 2019) & MOPH

Afghanistan WFP Office Location (geonode:afg_wfp_office_location_mar2015_1)

WFP Afghanistan Office location, sources WFP Area/Sub Offices.

Afghanistan Areas of control by settlement - May 2016 (geonode:afg_wfp_poi_ares_control)

Security issue by settlement

al292020_lin (geonode:al292020_lin)

ICA Armenia, 2017 - Additional Hazards, 2012 (geonode:arm_ica_additionalhazards_geonode_20171002)

This layer contains information about the hail storm and frost risk estimated during the Integrated Context Analysis (ICA) run in Armenia in 2017. Data source: Armenia Hydrometeorological Monitoring Service, 2012. The key indicators used for the analysis were the number of hail storm days recorded per year and the overall level of frost risk.

ICA Armenia, 2017 - ICA Categories & Areas (geonode:arm_ica_areas_categories_geonode_20171002)

This layer contains information about the final classification deriving from the Integrated Context Analysis (ICA) run in Armenia in 2017, showing the areas of convergence between recurrence of food insecurity and propensity to natural shocks.

ICA Armenia, 2017 - Drought Risk, 1981-2015 (geonode:arm_ica_droughtrisk_geonode_20171002)

This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) run in Armenia in 2017. Data source: HQ VAM Analysis of CHIRPS Rainfall Estimates, 1981-2015 (the time frame considered is considerably different compared to the one used in the 2016 ICA). The key indicator used is the number of poor growing seasons.

ICA Armenia, 2017 - Estimated Numbers of Food Insecure People, 2010-2015 (geonode:arm_ica_estimatedfipeople_geonode_20171002)

This layer contains information about the estimates of food insecure population for long-term planning and the additional food insecure people in case of a major shock. Data source: Integrated Living Condition Surveys (ILCS) 2010-2015.

ICA Armenia, 2016 - Food Insecurity Recurrence, 2010-2014 (geonode:arm_ica_foodinsecurity_geonode_20160708)

This layer contains information about the food insecurity recurrence and variability estimated during the Integrated Context Analysis (ICA) run in Armenia in 2016. Data source: Integrated Living Condition Surveys (ILCS), 2010-2014. The key indicator used is the food security classification developed under the Comprehensive Food Security Vulnerability and Nutrition Analysis (CFSVNA), considering a 15% threshold since only severe food insecurity was used for the analysis.

ICA Armenia, 2016 & 2017 - Land Degradation, 2001-2012 (geonode:arm_ica_landdeg_admin2_geonode_20171002)

This layer contains information about the land degradation phenomenon calculated during the Integrated Context Analysis (ICA) run in Armenia in 2016. The results are still valid for the purposes of the ICA update performed in 2017. Data source: HQ OSEP GIS Analysis of NASA MODIS 2001-2012. The key indicators used for the analysis were the average ecological change observed in the reference period and the percentage of surface prone to erosion.

ICA Armenia, 2016 - Natural Shocks Risk (geonode:arm_ica_naturalshocksrisk_geonode_20160708)

This layer contains information about the risk of natural shocks (floods, mudflows and droughts) estimated during the Integrated Context Analysis (ICA) run in Armenia in 2016. Data source: UNEP/UNISDR GAR 2013, Armenia Hydrometeorological Monitoring Service 2012, HQ VAM Analysis of CHIRPS RFE 2011-2015.

ICA Armenia, 2016 & 2017 - Malnutrition, 2014 (geonode:arm_ica_nutrition_geonode_20171002)

This layer contains information about the nutrition levels estimated during the Integrated Context Analysis (ICA) run in Armenia in 2016. The results are still valid for the purposes of the ICA update performed in 2017. Data source: Integrated Living Condition Surveys (ILCS) 2014. The key indicators used for the analysis were the prevalence of stunting and overweight in children below 5 years of age, considering respectively a 20% and a 15% percent threshold.

Availability: Average annual potato yield, National Statistics Committee 2014 (geonode:average_annual_potato_yield_1)

No abstract provided

Availability: Average annual vegetable yield, National Statistics Committee 2014 (geonode:average_annual_vegetable_yield_1)

No abstract provided

Availability: Average annual wheat yield, National Statistics Committee 2014 (geonode:average_annual_wheat_yield_1)

No abstract provided

ICA Burundi, 2014 - Drought Risk, 1999-2013 (geonode:bdi_nhr_droughtrisk_geonode_20150212)

This layer contains information about the drought risk - by livelihood zone - estimated during the Integrated Context Analysis (ICA) run in Burundi between 2014 and 2015. Data source: HQ VAM Analysis of NDVI data, 1999-2013. The key indicator used for the analysis was the number of poor growing seasons during the time frame of interest. Cette couche contient informations regard le risque de sècheresse - par zones de moyens d'existence - estimé pendant l'Analyse Integrée de Contexte (AIC) executé au Burundi entre 2014 et 2015. Source des données: HQ VAM Analyse de NDVI données, 1999-2013. L'indicateur principale utilisé pour l'analyse était le nombre de saison qui ont connu un déficit hydrique (mauvaises saisons de croissance).

ICA Burundi, 2014 - Landslide Risk, 2009 (geonode:bdi_nhr_landsliderisk_geonode_20150212)

This layer contains information about the landslide risk - by livelihood zone - estimated during the Integrated Context Analysis (ICA) run in Burundi between 2014 and 2015. Data source: UNEP/UNISDR Global Assessment of Risk (GAR), 2009. The key indicators used for the analysis were the maximum expected frequency of landslide events and the percentage of surface affected by landslide risk. Cette couche contient informations regard le risque de glissements de terrain - par zones de moyens d'existence - estimé pendant l'Analyse Integrée de Contexte (AIC) executée au Burundi entre 2014 et 2015. Source des données: UNEP/UNISDR GAR, 2009. Les indicateurs principales utilisés pour l'analyse étaient la fréquence maximale de glissements de terrain et la pourcentage de surface à risque de glissements de terrain.

ICA Burundi, 2014 - Rapid On-Set Shocks Risk (geonode:bdi_nhr_rapidonsetshocks_geonode_20150212)

This layer contains information about the rapid on-set shocks risk (floods and landslides) - by livelihood zone - estimated during the Integrated Context Analysis (ICA) run in Burundi between 2014 and 2015. Data source: Stratégie Nationale de Prévention des Risques et de Gestion des Catastrophes – Plan d’Action National 2012-2015, UNEP/UNISDR GAR 2009. Cette couche contient informations regard le risque de chocs de déclanchement rapide (inondations et glissements de terrain) - par zones de moyens d'existence - estimé pendant l'Analyse Integrée de Contexte (AIC) executé au Burundi entre 2014 et 2015. Source des données: Stratégie Nationale de Prévention des Risques et de Gestion des Catastrophes – Plan d’Action National 2012-2015, UNEP/UNISDR GAR 2009.

ICA Burundi, 2014 - Livelihood Zones, 2009 (geonode:bdi_pop_livelihoodzones_geonode_20150212)

This layer contains the eight main livelihood zones identified and used during the Integrated Context Analysis (ICA) run in Burundi between 2014 and 2015. Data source: FSMS, 2009. Cette couche contient les huit zones de moyens d'existence identifiées pendant l'Analyse Integrée de Contexte (AIC) executée au Burundi entre 2014 et 2015. Source des données: FSMS, 2009.

ICA Burundi, 2014 - Recurrence of Food Insecurity, 2009-2014 (geonode:bdi_wfp_firecurrence_geonode_20150212)

This layer contains information about the recurrence of food insecurity observed during the Integrated Context Analysis (ICA) run in Burundi between 2014 and 2015. Data source: Food Security Monitoring System (FSMS) 2009-2013, Comprehensive Food Security and Vulnerability Analysis (CFSVA-SMART) 2014. The key indicator used for the analysis was the Food Consumption Score (FCS) with a threshold set to 30%. Cette couche contient les données d'une analyse de tendance de la sécurité alimentaire - par zones de moyens d'existence - employée pendant l'Analyse Integrée de Contexte (AIC) executée au Burundi entre 2014 et 2015. Source des données: FSMS 2009-2013, CFSVA-SMART 2014. L'indicateur principale utilisé pour l'analyse était le score de consommation alimentaire des ménages, avec un seuil de 30% des ménages enquêtés.

ICA Burkina Faso, 2018 - ICA Categories & Areas (geonode:bfa_ica_categories_areas_geonode_20180712)

This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) performed in Burkina Faso in 2018, showing the areas of convergence of high levels of food insecurity recurrence and major propensity to natural shocks (floods and droughts). The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS unit and Programme division. Cette couche contient informations regard la classification finale résultant de l'Analyse Integrée de Contexte (AIC) executée en Burkina Faso en 2018, montrant les zones de convergence de niveaux elevés de récurrence d'insécurité alimentaire et propension aux chocs naturels (inondations et sècheresse). L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM.

ICA Burkina Faso, 2018 - Estimated Numbers of Food Insecure People, 2014-2018 (geonode:bfa_ica_estimatedfipeople_geonode_20180712)

This layer contains information about the numbers of food insecure people - by first-level administrative unit - estimated for the purposes of the Integrated Context Analysis (ICA) run in Burkina Faso in 2018. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data source: Ministry of Agriculture and Food Security (MASA) 2014, EPA 2015-2017, Emergency Food Security Analysis (EFSA) 2018. The main indicators used for the analysis were the percentage of food insecure population for long-term planning and the additional population figures in case of a major shock. Cette couche contient informations regard les nombres de personnes exposées à l'insécurité alimentaire - par unité administrative de première niveau - employées pendant l'Analyse Integrée du Contexte (AIC) executée en Burkina Faso en 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Ministry of Agriculture and Food Security (MASA) 2014, EPA 2015-2017, Emergency Food Security Analysis (EFSA) 2018. Les indicateurs principaux utilisés pour l'analyse étaient la pourcentage de population exposée à l'insécurité alimentaire pour la planification à long-terme et le nombre de personnes supplémentaires en cas de choc.

ICA Burkina Faso, 2018 - Flood Risk, 2013 (geonode:bfa_ica_floodrisk_geonode_20180712)

This layer contains information about the flood risk - by first-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Burkina Faso in 2018. The analysis is the result of a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data sources: UNEP/UNISDR GAR 2013. The main indicators used for the analysis were the percentage of district surface at flood risk and the maximum expected frequency of flood events with a 100-year return period. Cette couche contient informations regard le risque d’inondations – par unité administrative de première niveau – estimée pendant l’Analyse Integrée du Contexte (AIC) executée en Burkina Faso en 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données : UNEP/UNISDR GAR, 2013. Les indicateurs principaux utilisées pour l’analyse étaient la pourcentage de surface a risuqe d’inondation et l’attente maximale attendue des inondations.

ICA Burkina Faso, 2018 - Prevalence of Global Acute Malnutrition, 2016 (geonode:bfa_ica_malnutrition_geonode_20180712)

This layer contains information about the malnutrition levels - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Burkina Faso in 2018. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS Unit and Programme division. Data source: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2013-2017 The main indicator used for the analysis was the prevalence of Global Acute Malnutrition (GAM) and chronic Global Acute Malnutrition, with thresholds set according to the guidelines suggested by the World Health Organization (WHO). Cette couche contient informations regard les niveaux de malnutrition – par unité administrative de première niveau – observés pendant l’Analyse Integrée du Contexte (AIC) executée en Burkina Faso en 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2013-2017 Les indicateurs principaux utilisés pour l’analyse étaient la prévalence de Malnutrition Aigüe Globale (MAG) et de Malnutrition Aigüe Globale chronique, avec des seuils fixés selon les normes et la gamme de valeurs classés de l’OMS.

ICA Burkina Faso, 2018 - Total Population, 2018 (geonode:bfa_ica_population_geonode_20180712)

This layer contains information about the estimated population figures - by first-level administrative area - estimated for the purposes of the Integrated Context Analysis (ICA) run in Burkina Faso in 2018. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data source: WFP Burkina Faso CO, 2018. Cette couche contient informations regard la distribution de la population – par unité administrative de deuxième niveau – estimée pendant l’Analyse Integrée du Contexte (AIC) executée en Burkina Faso en 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: PAM Bureau du Pays, 2018.

bgd_14days_20july (geonode:bgd_14days_20july)

Bangladesh Moonsoon Flood (July 5 - 20) 2020

Central African Republic, Bridges, January 2019 (geonode:caf_poi_bridgesstatus_lc_20190103)

this layer contains information regarding the status of the intervention on bridges in CAR as of January 2019. The info have been collected in the Country from Logistics Cluster IM.

Central African Republic, Airstrip Network, November 2018 (geonode:caf_trs_airstripnetwork_wfp)

this layer contains information regarding the Airstrip Network in CAR as of November 2018. The info regarding the plane capacity and the status have been collected in the Country from Logistics Cluster IM.

ceta (geonode:ceta)

Utilization: Prevalence of chronic malnutrition among children under five years old, National Demographic and Health Survey 2012 (geonode:chronic_malnutrition)

No abstract provided

CMAM Surge Sites in District Umerkot, Pakistan (geonode:cmam_surge_site_1)

Location of CMAM Surge sites in district Umerkot, Sindh

DRC Admin Boundaries Level 1 (geonode:cod_adm1_un)

This layer includes administrative boundaries level 1 as per the standard structure of the GeoEnabler project. Admin1

DRC, First-level administrative boundaries (geonode:cod_admbnda_adm1_rgc_20170711)

This layer contains the first-level administrative boundaries (provinces) for DRC, validated by the Inter-Agency Information Management Working Group on July 26th, 2017.

ICA Democratic Republic of Congo, 2017 - ICA Categories & Areas (geonode:cod_ica_regional_categories_areas_geonode_20170516)

This layer contains information about the final classification resulting from the Integrated Context Analysis (ICA) - by second-level administrative area - run in Democratic Republic of Congo in 2017. The analysis was performed in three hot-spot provinces in the north-east part of the country (Ituri, Nord-Kivu and Sud-Kivu) because of the recent conflict outbreak and increasing food insecurity levels. The final categorization shows areas of convergence between high recurrence of food insecurity and propensity to natural shocks. Cette couche contient informations regard la classification finale résultant de l'Analyse Integrée de Contexte (AIC) executée en République Démocratique du Congo en 2017, montrant les zones de convergence de niveaux elevés de récurrence d'insécurité alimentaire et propension aux chocs naturels. L'analyse a été executée dans trois provinces critiques dans le secteur nord-est du pays (Ituri, Nord-Kivu et Sud-Kivu) en raison du récent déclenchement des conflits et des croissants niveaux d'insécurité alimentaire.

ICA Democratic Republic of Congo, 2017 - Recurrence of Food Insecurity, 2012-2017 (geonode:cod_ica_regional_firecurrence_geonode_20170516)

This layer contains information about the recurrence of food insecurity - by second-level administrative area - observed during the Integrated Context Analysis (ICA) run in Democratic Republic of Congo in 2017. The analysis was performed in three hot-spot provinces in the north-east part of the country (Ituri, Nord-Kivu and Sud-Kivu) because of the recent conflict outbreak and increasing food insecurity levels. Data source: IPC 2012-2017. The main indicator used for the analysis was the number of times that an IPC Phase 3 or above occurred per each district, classified using terciles (Low = 0-33%; Medium = 33-66%; High = 66-100%). Cette couche contient les données d'une analyse de tendance de la sécurité alimentaire - par unité administrative de deuxième niveau - employée pendant l'Analyse Integrée de Contexte (AIC) exécuté en République Démocratique du Congo en 2017. L'analyse a été executée dans trois provinces critiques dans le secteur nord-est du pays (Ituri, Nord-Kivu et Sud-Kivu) en raison du récent déclenchement des conflits et des croissants niveaux d'insécurité alimentaire. Source des données: IPC 2012-2017. L'indicateur principale utilisé pour l'analyse était le nombre de fois qu'il y a eu une phase IPC 3 ou supérieur en chaque cercle, classifiés par terciles (Faible = 0-33%; Moyen = 33-66%; Elevé = 66-100%).

ICA Democratic Republic of Congo, 2017 - Land Degradation, 2001-2012 (geonode:cod_ica_regional_landdegradation_geonode_20170516)

This layer contains information about the land degradation phenomenon - by second-level administrative area - observed during the Integrated Context Analysis (ICA) run in Democratic Republic of Congo in 2017. The analysis was performed in three hot-spot provinces in the north-east part of the country (Ituri, Nord-Kivu and Sud-Kivu) because of the recent conflict outbreak and increasing food insecurity levels. Data source: HQ OSEP GIS Analysis of NASA MODIS, 2001-2012 The main indicators used for the analysis were the average ecological change observed within the time window considered and the percentage of prone-erosion district surface. Cette couche contient les données necessaires pour déterminer le niveau de dégradation de terres - par unité administrative de deuxième niveau - observé pendant l'Analyse Integrée de Contexte (AIC) executée en République Démocratique du Congo en 2017. Source des données: HQ OSEP GIS Analyse de NASA MODIS, 2001-2012 Les indicateurs principaux utilisés pour l'analyse étaient les changements moyens de couverture du sol observés entre 2001 et 2012 et la pourcentage de surface ayant une propension à l'érosion significative.

ICA Democratic Republic of Congo, 2017 - Natural Shock Hazard (geonode:cod_ica_regional_naturalshockhazard_geonode_20170516)

This layer contains information about the combined natural shock (floods and landslides) hazard estimated - by second-level administrative area - during the Integrated Context Analysis (ICA) run in Democratic Republic of Congo in 2017. The analysis was performed in three hot-spot provinces in the north-east part of the country (Ituri, Nord-Kivu and Sud-Kivu) because of the recent conflict outbreak and increasing food insecurity levels. Data source: UNEP/UNISDR GAR 2013, EMDAT 1990-2016. Cette couche contient informations regard le risque des chocs naturals combinés (inondations, et glissements de terrain) - par unité administrative de deuxième niveau - estimé pendant l'Analyse Integrée de Contexte (AIC) executé en République Démocratique du Congo en 2017. L'analyse a été executée dans trois provinces critiques dans le secteur nord-est du pays (Ituri, Nord-Kivu et Sud-Kivu) en raison du récent déclenchement des conflits et des croissants niveaux d'insécurité alimentaire. Source des données: UNEP/UNISDR GAR 2013, EMDAT 1990-2016.

ICA Democratic Republic of Congo, 2017 - Inter-annual Rainfall Variability, 1981-2015 (geonode:cod_ica_regional_rainfallvariability_geonode_20170516)

This layer contains information about the interannual rainfall variability estimated during the Integrated Context Analysis (ICA) run in Democratic Republic of Congo in 2017. The analysis was performed in three hot-spot provinces in the north-east part of the country (Ituri, Nord-Kivu and Sud-Kivu) because of the recent conflict outbreak and increasing food insecurity levels. Data source: HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE), 1981-2015. The main indicator used for the analysis was the maximum percentage of rainfall variability compared to the long-term average. Cette couche contient informations regard la variabilité interannulle des précipitations estimée pendant l'Analyse Integrée du Contexte (AIC) executée en République Démocratique du Congo en 2017. L'analyse a été executée dans trois provinces critiques dans le secteur nord-est du pays (Ituri, Nord-Kivu et Sud-Kivu) en raison du récent déclenchement des conflits et des croissants niveaux d'insécurité alimentaire. Source des donnés: HQ VAM Analyse de CHIRPS estimations des précipitations, 1981-2015. L'indicateur principal utilisé pour l'analyse était la pourcentage maxime de variabilité par rapport à la moyenne à long terme.

Colombia First Level Admin Capitals (geonode:col_first_level_capital)

This layer provides geospatial information from Colombia first level admin capitals

col_gdacs_buffers (prism:col_gdacs_buffers)

Colombia - Third Level Admin Boundaries (geonode:col_third_level_admin_boundaries)

This layer provides the Third Level Admin Boundaries from Colombia, this was made for the "National Administrative Department of Statistics" (DANE)

Global Emergency Levels for OPWEB (geonode:csp_iso2_type_1)

No abstract provided

Darfur_IDPs_Refugees_Camps_Settlements_2020 (geonode:darfur_idps_refugees_2020)

The Data set displays IDPs and Refugees camps and settlements in Darfur Region.

darfur_idps_refugees_2020_dozy (geonode:darfur_idps_refugees_2020_dozy)

darfur_idps_refugees_2020_pc81 (geonode:darfur_idps_refugees_2020_pc81)

darfur_idps_refugees_2020_t7xe (geonode:darfur_idps_refugees_2020_t7xe)

DEV Project Locations (geonode:dev_loc_geonode)

No abstract provided

District (geonode:district)

Admin 2 level - District boundary of Punjab, Balochistan and KP

ICA Dominican Republic, 2017 - ICA Categories & Areas (geonode:dom_ica_categories_areas_geonode_20170420)

This layer contains information about the final classification resulting from the Integrated Context Analysis (ICA) run in Dominican Republic in 2017, showing areas of convergence between high levels of food insecurity recurrence and propensity to natural shocks.

ICA Dominican Republic, 2017 - Drought Risk, 2000-2015 (geonode:dom_nhr_droughtrisk_geonode_20170412)

This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: NASA MODIS, 2000-2015. The key indicator used for the analysis was ...

ICA Dominican Republic, 2017 - Landslide Risk, 2011 (geonode:dom_nhr_landsliderisk_geonode_20170412)

This layer contains information about the landslide risk estimated during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: UNEP/UNISDR GAR 2011. The key indicators used for the analysis were the maximum expected frequency of landslide events and the percentage of landslide affected area.

ICA Dominican Republic, 2017 - Rapid On-Set Shocks Risk, 2011 (geonode:dom_nhr_rapidonsetshocks_geonode_20170412)

This layer contains information about the rapid on-set shocks risk (floods and landslides) estimated during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: UNEP/UNISDR GAR 2011.

ICA Dominican Republic, 2017 - Predominant Economic Activity, 2010 (geonode:dom_phy_maineconomicactivity_geonode_20170412)

This layer contains information about the most predominant economic activity - proxy for livelihood zones - identified and used during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: Oficina Nacional de Estadistica (ONE), 2010.

Stability: Land degradation, Ministry of Emergency Situations 2009 (geonode:drought_risk_1)

No abstract provided

ICA Ecuador, 2018 - Drought Hazard, 2015 (geonode:ecu_ica_droughtrisk_geonode_jul2018)

This layer contains information about the drought hazard - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Ecuador in 2018. Data source: Ministerio de Agricultura, Ganaderia, Acuacultura y Pesca (MAGAP), 2015. The methodology used to estimate the drought hazard included parameters such as the soil texture and ratio between the total precipitation and the average precipitation expected for a given region, whose classifications were combined into a final qualitative score. The main indicators used for the analysis were the percentage of surface at drought hazard and the most recurrent drought hazard class - according to MAGAP - by second-level administrative area.

ICA Ecuador, 2018 - Flood Hazard, 2015 (geonode:ecu_ica_floodrisk_geonode_jul2018)

This layer contains information about the flood hazard - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Ecuador in 2018. Data source: Ministerio de Agricultura, Ganaderia, Acuacultura y Pesca (MAGAP), 2015. The methodology used to estimate the flood hazard included parameters such as the soil texture, the terrain slope and the return period of the flood events, whose classifications have been combined into a final qualitative score. The main indicators used for the purposes of the analysis were the percentage of surface area at flood hazard and the most recurrent flood hazard class - according to MAGAP - by second-level administrative area.

ICA Ecuador, 2018 - Erosion Propensity, 2009-2017 (geonode:ecu_ica_landdegradation_geonode_jul2018)

This layer contains the information about the soil erosion propensity calculated during the Integrated Context Analysis (ICA) run in Ecuador in 2018. Data source: IEE Mapa de Sistemas Productivos, 2009-2017 (C Factor), NASA SRTM Digital Elevation Model 30m (LS Factor), Climatologies at High resolution for the Earth's Land Surface Areas (CHELSA), 1979-2013 (R Factor), Ministero de Agricultura, Ganaderia, Acuacultura y Pesca (MAGAP, K Factor). The main indicator used for the analysis was the percentage of erosion-prone surface by second-level administrative area.

ICA Ecuador, 2018 - Natural Shock Hazard (geonode:ecu_ica_naturalshockrisk_geonode_jul2018)

This layer contains information about the combined natural shock (floods, landslides and droughts) hazard - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Ecuador in 2018. Data source: Ministerio de Agricultura, Ganaderia y Pesca (MAGAP), Secretaria Nacional de Gestion de Riesgos (SGR).

Egypt WFP Activities 2 (ACR 2018) (geonode:egy_wfp_acrcountries_points_wfp_2018)

This layer is used to edit the data which are displayed in the Egypt interactive map of the ACR 2018 web platform.

eswatini_ecology_zones (geonode:eswatini_ecology_zones)

existing_stockpile_1 (geonode:existing_stockpile_1)

No abstract provided

Mozambique Drone Flight Plan (geonode:fdcp)

Mozambique Licungo Drone Project Field Data Collection Points

Mozambique Drone Flight Plan (geonode:fielddata)

This data shows the Mozambique Licungo Drone project flight plan.

flooding (geonode:flooding)

food_issues (geonode:food_issues)

gbl_nhr_fl_adam_dfo_floodevent_masterlist_20200406 (geonode:gbl_nhr_fl_adam_dfo_floodevent_masterlist_20200406)

geocoding_result_5 (geonode:geocoding_result_5)

No abstract provided

gh_hsd_stations_availablets_jfv_22092020 (geonode:gh_hsd_stations_availablets_jfv_22092020)

gh_hsd_stations_availablets_links_jfv_12102020_v02 (geonode:gh_hsd_stations_availablets_links_jfv_12102020_v02)

gh_hsd_stations_availablets_links_jfv_12102020_v02_aclg (geonode:gh_hsd_stations_availablets_links_jfv_12102020_v02_aclg)

gh_hsd_stations_quality_flagged_jfv_12102020_v02 (geonode:gh_hsd_stations_quality_flagged_jfv_12102020_v02)

gh_hsd_stations_unavailablets_jfv_22092020_vbhv (geonode:gh_hsd_stations_unavailablets_jfv_22092020_vbhv)

gh_riverbasins_jfv_16092020_b6nb (geonode:gh_riverbasins_jfv_16092020_b6nb)

global_adm1_1 (geonode:global_adm1_1)

No abstract provided

hgsfp_pilot_schools (geonode:hgsfp_pilot_schools)

ICA Honduras, 2017 - ICA Categories & Areas (geonode:hnd_ica_categories_areas_geonode_may2017)

This layer contains information about the final classification resulting from the Integrated Context Analysis (ICA) run in Honduras in 2017, showing areas of convergence between high levels of economic fragility, used as a proxy for food insecurity, and propensity to natural shocks (floods, landslides and droughts).

ICA Honduras, 2017 - Flood Risk, 2011 (geonode:hnd_ica_floodrisk_geonode_may2017)

This layer contains information about the flood risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Honduras in 2017. Data source: UNEP/UNISDR GAR 2011. The key indicators used for the analysis were the maximum expected frequency of flood events and the percentage of flood affected area by municipality.

ICA Honduras, 2017 - Landslide Risk, 2011 (geonode:hnd_ica_landsliderisk_geonode_may2017)

This layer contains information about the landslide risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Honduras in 2017. Data source: UNEP/UNISDR GAR 2011. The key indicators used for the analysis were the maximum expected frequency of landslide events and the percentage of landslide affected area by municipality.

ICA Honduras, 2017 - Economic Fragility, 2011 (geonode:hnd_ica_povertyrecurrence_geonode_may2017)

This layer contains information about the economic fragility levels - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Honduras in 2017. Data source: Evaluación de la vulnerabilidad a nivel municipal en Honduras, IHCIT-PNUD-UNAH, 2011. It should be noted that, in absence of food insecurity data that satisfy the ICA technical minimum requirements in terms of spatial and temporal coverage, economic fragility has been used as a proxy. The main indicator used for the analysis was the recurrence of the fragility economic index, a parameter built using information about poverty, market prices, percentage of population in distress, percentage of steep terrain (slope above 30%) and subject to deforestation, percentage of houses with dirt roofs, average number of people per family and percentage of economically active population currently unemployed,

Honduras - Physical road access constraints, 16 December 2020 (geonode:hnd_trs_accessconstraints_20201129)

Physical road access constraints - as of 16 December 2020 - following TS IOTA.

ICA Haiti, 2017 - ICA Categories & Areas (geonode:hti_ica_categories_areas_geonode_20170417)

This layer contains information about the final classification resulting from the Integrated Context Analysis (ICA) run in Haiti in 2017, showing areas of convergence between high recurrence of food insecurity and propensity to natural shocks. Cette couche contient informations regard la classification finale resultée par l'Analyse Integrée du Contexte (AIC) effectuée en Haiti en 2017, montrant les zones de convergence des niveaux élevés de récurrence d'insécurité alimentaire et propension aux chocs naturels.

ICA Haiti, 2017 - Cyclone Risk, 1998-2010 (geonode:hti_nhr_cyclonerisk_geonode_20170417)

This layer contains information about the cyclone risk estimated during the Integrated Context Analysis (ICA) run in Haiti in 2017. Data source: MultiRisk Analysis using 1998-2010 data, realized by WFP with OCHA and CNIGS in 2014. This analysis is part of the "Analysis of Multiple Natural Hazards in Haiti (NATHAT)". The key indicators used for the analysis was the cyclone hazard score; considering the technical expertise and knowledge of the experts involved in the ICA process at the CO, the Nord-Ouest department has been reclassified from Low to High due to the possible wind effects. Cette couche contient informations regard le risque de tempêtes/cyclones estimé pendant l'Analyse Integrée du Contexte (AIC) effectuée en Haiti en 2017. Source des données: Analyse Multi Risque, 1998-2010, realisée par le PAM avec OCHA et CNIGS en 2014. L'analyse fait partie du document "Analysis of Multiple Natural Hazards in Haiti (NATHAT)". Compte tenu de l'expertise technique et de la conaissance du personnel au CO, le départment du Nord-Ouest a été reclassifié de faible à élevé en raison des possibles effets du vent.

ICA Haiti, 2017 - Flood Risk, 1998-2010 (geonode:hti_nhr_floodrisk_geonode_20170417)

This layer contains information about the flood risk estimated during the Integrated Context Analysis (ICA) run in Haiti in 2017. Data source: MultiRisk Analysis using 1998-2010 data, realized by WFP with OCHA and CNIGS in 2014. This analysis is part of the "Analysis of Multiple Natural Hazards in Haiti (NATHAT)". The indicators used for the analysis were the surface of the flooded areas, flood frequency, flood depth, Digital Elevation Model (DEM), land typology (hydrogeology and geology) and drainage systems. Cette couche contient informations regard le risque d'inondations estimé pendant l'Analyse Integrée du Contexte (AIC) effectuée en Haiti en 2017. Source des données: Analyse Multi Risque, 1998-2010, realisée par le PAM avec OCHA et CNIGS en 2014. L'analyse fait partie du document "Analysis of Multiple Natural Hazards in Haiti (NATHAT)". Les indicateurs principaux utilisés pour l'analyse étaient les zones d'inondations, la récurrence d'inondations, la profondeur des inondations, le Digital Elevation Model (DEM), la typologie du sol (hydrogéologie et géologie) et le réseau de drainage.

ICA Haiti, 2017 - Natural Shocks Risk, 1998-2010 (geonode:hti_nhr_naturalshocksrisk_geonode_20170417)

This layer contains information about the combined natural shocks risk (floods, landslides, cyclones and drought) estimated during the Integrated Context Analysis (ICA) run in Haiti in 2017. Data source: MultiRisk Analysis using 1998-2010 data, realized by WFP with OCHA and CNIGS in 2014. This analysis is part of the "Analysis of Multiple Natural Hazards in Haiti (NATHAT)". Cette couche contient informations regard le risque combiné des chocs naturels (inondations, glissements de terrain, cyclones et sècheresse) estimé pendant l'Analyse Integrée du Contexte (AIC) effectuée en Haiti en 2017. Source des données: Analyse Multi Risque, 1998-2010, realisée par le PAM avec OCHA et CNIGS en 2014. L'analyse fait partie du document "Analysis of Multiple Natural Hazards in Haiti (NATHAT)".

ICA Haiti, 2017 - Livelihood Zones, 2014 (geonode:hti_pop_livelihoodzones_fewsnet2014_geonode_20170417)

This layer contains the nine main livelihood zones identified and used during the Integrated Context Analysis (ICA) run in Haiti in 2017. Data source: Fewsnet, 2014. Cette couche contient les huit zones de moyens d'existence identifiées et utilisées pendant l'Analyse Integrée de Contexte (AIC) effectuée en Haiti en 2017. Source des données: Fewsnet, 2014.

ICA Haiti, 2017 - Estimated Numbers of Food Insecure People, 2007-2016 (geonode:hti_wfp_estimatedfipeople_geonode_20170417)

This layer contains information about the food insecure population figures estimated during the Integrated Context Analysis (ICA) run in Haiti in 2017. Data source: 5 food security assessments, performed between 2007 and 2016, with the contribution of several organizations. Cette couche contient informations regard le nombre de personnes en situation d'insécurité alimentaire estimé pendant l'Analyse Integrée du Contexte (AIC) effectuée en Haiti en 2017. Source des données: 5 enquêtes d'insécurité alimentaire, menées entre 2007 et 2016, par nombreuses organizations.

ica_countries (geonode:ica_countries)

Indonesia, admin4 boundary 2017 (geonode:idn_bnd_adm4_2017_bps_a)

Administrative boundaries from admin0 (country) to admin4 (village), contains admin code (pcode) using Badan Pusat Statistik (BPS - Statistics Indonesia) standard and Sistem Informasi Administrasi Kependudukan (SIAK - Population Administration Information System) standard from Kemendagri (Ministry of Home Affairs). The data originally available as ArcGIS REST Services from various government GIS portal, accessed through QGIS REST interface. Example workflow: https://issues.qgis.org/projects/qgis/wiki/Arcgis_rest

imagen_24h_6_oct_2018_12m_modificado_2 (geonode:imagen_24h_6_oct_2018_12m_modificado_2)

No abstract provided

imagen_24h_6_oct_2018_12m_modificado_4 (geonode:imagen_24h_6_oct_2018_12m_modificado_4)

No abstract provided

Integrated Context Analysis: Categories of areas based on poverty and exposure to natural shocks, National Statistics Committee 2014, Ministry of Emergency Situations 2009, NDVI analysis by OMEP WFP 2012 (geonode:integrated_context_analysis_1)

No abstract provided

jor_bnd_adm2_jdos (geonode:jor_bnd_adm2_jdos)

ICA Jordan, 2019 - Drought hazard, 1980-2016 (geonode:jor_ica_droughthazard_20190722)

This layer contains information about the drought hazard estimated and used for the Integrated Context Analysis (ICA) run in Jordan in 2019. Data source: “CDI Validation summary report and drought vulnerability maps”, UNDP 2018. The key indicators used were natural factors related to exposure and a combination of natural and human-driven factors for the sensitivity. Adaptive capacity, on the other hand, has been based on the availability of resources, socio-economic indicators, legislation and capacity of relevant institutions and society.

ICA Jordan, 2019 - Flood hazard, 2019 (geonode:jor_ica_floodhazard_20190722)

This layer contains information about the flood hazard estimated and used for the Integrated Context Analysis (ICA) run in Jordan in 2019. Data source: WFP JOCO analysis of national rainfall intensity data from MWI (Ministry of Water and Irrigation) and 30m Digital Elevation Model (DEM) through the Watershed Modeling System (WMS). The main indicator used for the analysis was the normalized flood intensity, expressed as the ratio between the peak flow and the drainage area. For more information about the flood hazard analysis, please find the flood hazard map report at the following link: https://www.wfp.org/publications/2019-flood-hazard-map-jordan

ICA Jordan, 2019 - Natural shocks hazard (geonode:jor_ica_naturalshockshazard_20190722)

This layer contains information about the severity of the combined natural hazards (droughts and floods) used for the Integrated Context Analysis (ICA) run in Jordan in 2019. Data source: WFP JOCO analysis of national rainfall intensity data from MWI (Ministry of Water and Irrigation) and 30m Digital Elevation Model (DEM) through the Watershed Modeling System (WMS), “CDI Validation summary report and drought vulnerability maps”, UNDP 2018.

Average Beans production (MT) in Kenya: 2011-2014 (geonode:ken_phy_era_beanproduction_1)

The data shows beans production in Kenya over the period 2011 to 2014. The data was obtained from secondary sources (Economic Review of Agriculture and Abstracts) from the the Ministry of Agriculture and FAO in Kenya. The data details the yield (MT/Hectare), area harvested (Hectares) and production (MT). The data was obtained for supporting the analysis for the IGAD regional Atlas on Climate Risk and Food Security.

kenya livestock tertiary markets (geonode:ken_phy_livestock_tertiarymarkets)

The shapefile was generated through digitisation of maps contained in the "Regional integration support Programme (RISP ii) continuation identification and mapping of key cross-border livestock routes and markets, services and priority transboundary animal diseases including zoonotics for regional and international trade" report by IGAD ICPALD.

Availability, Net wheat production per capita per day (gram) (geonode:kgz_bnd_adm3_fsa_bazarkorgon_1)

No abstract provided

Demography, Number of households (geonode:kgz_bnd_adm3_fsa_bazarkorgon_11)

No abstract provided

Access, Poverty rate (geonode:kgz_bnd_adm3_fsa_bazarkorgon_13)

No abstract provided

Availability, Net vegetable production per capita per day (gram) (geonode:kgz_bnd_adm3_fsa_bazarkorgon_15)

No abstract provided

Availability, Net per capita wheat production / Per capita normative consumption (geonode:kgz_bnd_adm3_fsa_bazarkorgon_2)

No abstract provided

Availability, Net potato production per capita per day (gram) (geonode:kgz_bnd_adm3_fsa_bazarkorgon_4)

No abstract provided

Availability, Domestic production of vegetables (geonode:kgz_bnd_adm3_fsa_bazarkorgon_6)

No abstract provided

Availability, Domestic production of corn (geonode:kgz_bnd_adm3_fsa_bazarkorgon_8)

No abstract provided

Kyrgyzstan, School Meal Project, Targeted schools (1 - 6 rounds) (geonode:kgz_smp_schools_16)

No abstract provided

Sudan_Khartoum_nutrition_centers_covid19_Emergency_Response (geonode:khartoum_nutrition_centers_covid19_response)

WFP Sudan 2020: Nutrition Emergency Response during COVID-19 Pandemic in Khartoum state.

Cambodia Admin Boundaries Level 2 (Districts) (geonode:khm_adm2_un)

This layer contains information about administrative boundaries level 2 (District) in Cambodia. Data Source: Department of Geography of the Ministry of Land Management, Urban Planning and Construction and WFP GeoEnabler Project.

Cambodia: Flood Extent in 2013 (geonode:khm_nhr_floods_copernicus_2013)

Flood extent in 2013

Cambodia Population Living Flooding Areas (geonode:khm_pop_living_flood_poverty_adm3_wfp)

This layer contains information about total population and poor people living communes affected by flooding in 2013 in Cambodia. Data Source: LandScan population in 2015, Copernicus flood extent in 2013, IDPoor data of Ministry of Planning and Department of Geography of the Ministry of Land Management, Urban Planning and Construction.

Kyrgyzstan Land Degradation 2001-2016 (geonode:kyrgyzstan_boundaries)

Land Cover change 2001-2016; Erosion Propensity 2016. This layer contains information about the land degradation phenomenon - by second-level administrative area - Data sources, Land cover from HQ OSE GIS Analysis of NASA MODIS 2001-2016, Erosion analysis according to RUSLE equation considering: -WorldClim Rain 1970-2000, -FAO Global Soil map -NASA SRTM Digital Elevation Model data. -MODIS Land cover The main indicators used for the analysis were the average ecological changes observed between 2001-2006 and 2011-2016 and the percentage of erosion-prone surface.

lka_gdacs_buffers (prism:lka_gdacs_buffers)

ICA Lesotho, 2015 - Predominant Livelihood Zones, 2014 (geonode:lso_ica_livelihoodzones_geonode_20150731)

This layer contains information about the predominant livelihood zone by province (Admin 1) identified during the Integrated Context Analysis (ICA) run in Lesotho in 2015. Data source: Fewsnet, 2014.

ICA Lesotho, 2015 - Flood Risk, 2013 (geonode:lso_nhr_floodrisk_geonode_20150731)

This layer contains information about the flood risk estimated during the Integrated Context Analysis (ICA) run in Lesotho in 2015. Data source: UNEP/UNISDR GAR 2013. The key indicator used for the analysis was the percentage of surface area at risk of flooding.

ICA Lesotho, 2015 - Land Degradation, 2001-2012 (geonode:lso_phy_landdegradation_geonode_20150731)

This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) run in Lesotho in 2015. Data source: NASA MODIS 2001-2012. The key indicator used for the analysis was the average ecological changes observed between 2001 and 2012 through remotely sensed data. It should be noted that the land degradation analysis consisted of an erosion propensity estimation, but given the low percentages of province surface erosion-prone, the map was not included in the final report.

ICA Lesotho, 2015 - Population Figures, 2011 (geonode:lso_pop_totalpopulation_geonode_20150731)

This layer contains information about the population figures by province (admin 1) used in the Integrated Context Analysis (ICA) run in Lesotho in 2015. Data source: Lesotho Bureau of Statistic, 2011.

lugares_poblados_final_spati (geonode:lugares_poblados_final_spati)

No abstract provided

Utilization: Maternal mortality, Ministry of Health 2013 (geonode:maternal_mortality_1)

No abstract provided

Madagascar streets and pathways (geonode:mdg_trs_streets_osm)

This dataset is an extraction of streets and pathways from OpenStreetMap data made by WFP that follow UNSDIT standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include main roads that have been published on a separate dataset (Madagascar Road Network (main roads)).

mgd_trs_roads_osm (geonode:mgd_trs_roads_osm)

ICA Mali, 2014 - ICA Categories & Areas (geonode:mli_ica_adm2_categories_areas_geonode_jun2014)

This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) performed in Mali in 2014, showing the areas of convergence of high levels of food insecurity and malnutrition and major propensity to natural shocks (floods, droughts and erosion). Cette couche contient informations regard la classification finale résultant de l'Analyse Integrée de Contexte (AIC) executée en Mali en 2014, montrant les zones de convergence de niveaux elevés d'insécurité alimentaire et malnutrition et propension aux chocs naturels (inondations, sècheresse et érosion).

ICA Mali, 2014 - Estimated Numbers of Food Insecure People, 2013 (geonode:mli_ica_adm2_estimatedfipeople_geonode_jun2014)

This layer contains information about the numbers of food insecure people - by second-level administrative unit - estimated for the purposes of the Integrated Context Analysis (ICA) run in Mali in 2014. Data source: Emergency Food Security Analysis (EFSA) 2013. The main indicator used for the analysis was the food insecure population for long-term planning. Cette couche contient informations regard les nombres de personnes exposées à l'insécurité alimentaire - par unité administrative de deuxième niveau - employées pendant l'Analyse Integrée du Contexte (AIC) executée en Mali en 2014. Source des données: Emergency Food Security Analysis (EFSA) 2013. L'indicateur principale utilisé pour l'analyse était la population exposée à l'insécurité alimentaire pour la planification à long-terme.

ICA Mali, 2014 - Flood Risk, 2011 (geonode:mli_ica_adm2_floodrisk_geonode_jun2014)

This layer contains information about the flood risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Mali in 2014. Data sources: UNEP/UNISDR GAR, 2011. The main indicators used for the analysis were the percentage of district surface at flood risk and the maximum expected frequency of flood events with a 100-year return period. Cette couche contient informations regard le risque d’inondations – par unité administrative de deuxième niveau – estimée pendant l’Analyse Integrée du Contexte (AIC) executée en Mali en 2014. Source des données : UNEP/UNISDR GAR, 2011. Les indicateurs principaux utilisées pour l’analyse étaient la pourcentage de surface a risuqe d’inondation et l’attente maximale attendue des inondations.

ICA Mali, 2017 - ICA Categories & Areas (geonode:mli_ica_categories_areas_geonode_20170606)

This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) performed in Mali in 2017, showing the areas of convergence of high levels of food insecurity recurrence and major propensity to natural shocks (floods and droughts). The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS unit and Programme division. Cette couche contient informations regard la classification finale résultant de l'Analyse Integrée de Contexte (AIC) executée en Mali en 2017, montrant les zones de convergence de niveaux elevés de récurrence d'insécurité alimentaire et propension aux chocs naturels (inondations et sècheresse). L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM.

ICA Mali, 2017 - Drought Risk, 1981-2015 (geonode:mli_ica_droughtrisk_geonode_20170606)

This layer contains information about the drought risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Mali in 2017. The analysis is a joint effort between the Regional Bureau in Dakar (RBD), the HQ GIS Unit and Programme division. Data source: HQ VAM Analysis of Chirps Rainfall Estimates (RFE), 1981-2015. The main indicator used for the analysis was the number of poor growing seasons observed in the time window of interest. Cette couche contient informations regard le risque de sècheresse – par unité administrative de deuxième niveau – estimée pendant l’Analyse Integrée du Contexte (AIC) executée en Mali en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: HQ VAM Analyse des données CHIRPS d’estimation des precipitations, 1981-2015. L'indicateur principale utilisé pour l'analyse était le nombre de saisons qui ont connu un déficit hydrique (mauvaises saisons de croissance).

ICA Mali, 2017 - Recurrence of Food Insecurity, 2013-2017 (geonode:mli_ica_firecurrence_geonode_20170606)

This layer contains information about the food security trend analysis - by second-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Mali in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data source: Enquête Nationale de la Sécurité Alimentaire et Nutritionnelle (ENSAN) 2014-2017, Emergency Food Security Analysis (EFSA) 2013. The main indicator used for the analysis was the CARI (Consolidated Approach to Reporting Indicators of Food Security) indicator, with a threshold - referring to moderately and severely food insecure households - set to 22.5%. Cette couche contient les données d’une analyse de tendance de la sécurité alimentaire – par unité administrative de deuxième niveau – employée pendant l’Analyse Integrée du Contexte (AIC) executée en Mali en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Enquête Nationale de la Sécurité Alimentaire et Nutritionnelle (ENSAN) 2014-2017, Emergency Food Security Analysis (EFSA) 2013. L’indicateur principale utilisé pour l’analyse était l’indicateur CARI (Consolidated Approach to Reporting Indicators of Food Security), avec un seuil – mesuré par le menages en insécurité alimentaire modérée et sévère – fixé à 22.5%.

ICA Mali, 2017 - Land Degradation, 2001-2012 (geonode:mli_ica_landdegradation_geonode_20170606)

This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Mali in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data sources: HQ OSEP GIS Analyse des données NASA MODIS 2001-2012, WorldClim 1970-2000, FAO et NASA SRTM Digital Elevation Model. The main indicators used for the analysis were the average ecological changes observed between 2001 and 2012 and the percentage of erosion-prone surface. Cette couche contient les données necessaires pour determiner le niveau de dégradation des terres – par unité administrative de deuxième niveau – observé pendant l’Analyse Integrée du Contexte (AIC) executée en Mali en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: HQ OSEP GIS Analyse des données NASA MODIS 2001-2012, WorldClim 1970-2000, FAO et NASA SRTM Digital Elevation Model. Les indicateurs principaux utilisés pour l'analyse étaient les changements moyens de couverture du sol observés entre 2001 et 2012 et la pourcentage de surface ayant une propension à l'érosion significative.

ICA Mali, 2017 - Natural Shock Risk (geonode:mli_ica_naturalshocksrisk_geonode_20170606)

This layer contains information about the natural shock risk (floods and droughts) estimated during the Integrated Context Analysis (ICA) performed in Mali in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD), the HQ GIS Unit and Programme division. Data sources: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE) 1981-2015. Cette couche contient informations regard le risque des chocs naturels (inondations et sècheresse) estimé pendant l’Analyse Integrée du Contexte (AIC) executée en Mali en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données : UNEP/UNISDR GAR 2013, HQ VAM Analyse des données CHIRPS d’estimation des precipitations 1981-2015.

mmr_acled_incidents (prism:mmr_acled_incidents)

moz_gdacs_buffers (prism:moz_gdacs_buffers)

ICA Mozambique, 2017 - Cyclone Hazard, 1930-2000 (geonode:moz_nhr_cyclonehazard_geonode_20170623)

This layer contains information about the cyclone hazard estimated during the Integrated Context Analysis (ICA) run in Mozambique in 2017. Data source: Fewsnet, 1930-2000. The indicator used for the analysis was the average frequency of cyclone events.

ICA Mozambique, 2017 - Flood Hazard, 1975-2012 (geonode:moz_nhr_floodhazard_geonode_20170623)

This layer contains information about the flood hazard estimated during the Integrated Context Analysis (ICA) run in Mozambique in 2017. Data source: Fewsnet 1975-2012, Disaster Risk Financing and Insurance (DRFI), 2012. The indicators used for the analysis were the percentage of flood extent and a qualitative classification of the district at high or very high flood risk. It should be noted that the analysis did not consider information about the flood frequency and that, in the last 5 years, flood patterns are changing and affecting the northern part of the country, which is not registering extreme flood events anymore.

ICA Mozambique, 2017 - Land Degradation, 2001-2012 (geonode:moz_phy_deforestation_geonode_20160623)

This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) run in Mozambique in 2017. Data source: HQ OSEP GIS Analysis of NASA MODIS, 2001-2012. The main indicator used for the analysis was the percentage of district area that experienced deforestation in the time window examined.

Mozambique survey data (geonode:moz_poi_survey123_wfp)

Daily extract of Mozambique survey made by WFP to track access constraints

Mozambique, Road Access Constraints, Cyclones Idai and Kenneth Response (geonode:moz_trs_roadaccessconstraints_wfp)

This dataset is based on an extraction of OpenStreetMap. In addition, it contains access constraints status in the column "status" and is edited regularly with information received by partners of the Logistics cluster in Mozambique. This dataset is the same as used on the Logistics Cluster Access Constraints map published here: https://logcluster.org/sector/cyclone-idai19

ICA Mozambique, 2017 - Prevalence of Stunting, 2013 (geonode:moz_wfp_admin1_malnutrition_geonode_20170623)

This layer contains information about the malnutrition levels - by first-level administrative unit - observed during the Integrated Context Analysis (ICA) run in Mozambique in 2017. Data source: SETSAN, 2013. The key indicator used for the analysis was the prevalence of stunting in children aged under 5 years, classified according to the classification for assessing severity of malnutrition provided by the World Health Organization (WHO). It should be noted that the shapefile also includes the figures about the prevalence of wasting in children aged under 5 years, indicator which has not been considered in the final version of the Technical Paper.

ICA Mozambique, 2017 - Recurrence of Food Insecurity, 2006-2016 (geonode:moz_wfp_firecurrence_geonode_20170623)

This layer contains information about the recurrence of food insecurity estimated during the Integrated Context Analysis (ICA) run in Mozambique in 2017. Data source: Food Security and Nutrition baseline data (SETSAN) 2006-2009-2013, Mozambique Vulnerability Assessment Committee (VAC) 2012-2016. The main indicator used for the analysis was, for both the assessments used, the Food Consumption Score (FCS), considering households with poor and borderline food insecurity and a threshold set to 20% given that this highlights areas where at least 1 out of 5 households is food insecure.

FFA Mozambique_Inhambane (geonode:mozambique_ffa_mozambique_gaza)

No abstract provided

FFA Mozambique_Inhambane (geonode:mozambique_ffa_mozambique_maputo)

No abstract provided

FFA Mozambique_Sofala (geonode:mozambique_ffa_mozambique_sofala)

No abstract provided

FFA Mozambique_Zambezia (geonode:mozambique_ffa_mozambique_zambezia)

No abstract provided

ICA Mauritania, 2017 - ICA Categories & Areas (geonode:mrt_ica_categories_areas_geonode_20181022)

This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) performed in Mauritania in 2017, showing the areas of convergence of high levels of food insecurity recurrence and major propensity to natural shocks (floods and droughts). The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS unit and Programme division. Cette couche contient informations regard la classification finale résultant de l'Analyse Integrée de Contexte (AIC) executée en Mauritanie en 2017, montrant les zones de convergence de niveaux elevés de récurrence d'insécurité alimentaire et propension aux chocs naturels (inondations et sècheresse). L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM.

ICA Mauritania, 2017 - Estimated Numbers of Food Insecure People, 2011-2015 (geonode:mrt_ica_estimatedfipeople_geonode_20181022)

This layer contains information about the numbers of food insecure people - by first-level administrative unit - estimated for the purposes of the Integrated Context Analysis (ICA) run in Mauritania in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data source: Food Security Monitoring System (FSMS), 2011-2015. The main indicators used for the analysis are the percentage of food insecure population for long-term planning, the most vulnerable food insecure people and the additional population figures in case of a major shock. Cette couche contient informations regard les nombres de personnes exposées à l'insécurité alimentaire - par unité administrative de première niveau - employées pendant l'Analyse Integrée du Contexte (AIC) executée en Mauritanie en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Food Security Monitoring System (FSMS), 2011-2015. Les indicateurs principaux utilisés pour l'analyse étaient la pourcentage de population exposée à l'insécurité alimentaire pour la planification à long-terme, la population la plus vulnerable et le nombre de personnes supplémentaires en cas de choc.

ICA Mauritania, 2017 - Flood Risk, 2013 (geonode:mrt_ica_floodrisk_geonode_20181022)

This layer contains information about the flood risk - by first-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Mauritania in 2017. The analysis is the result of a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data sources: UNEP/UNISDR GAR 2013. The main indicators used for the analysis were the percentage of department surface at flood risk and the maximum expected frequency of flood events with a 100-year return period. Cette couche contient informations regard le risque d’inondations – par unité administrative de première niveau – estimé pendant l’Analyse Integrée du Contexte (AIC) executée en Mauritanie en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données : UNEP/UNISDR GAR, 2013. Les indicateurs principaux utilisées pour l’analyse étaient la pourcentage de surface a risque d’inondation et l’attente maximale attendue des inondations.

ICA Mauritania, 2017 - Prevalence of Global Acute Malnutrition, 2011-2015 (geonode:mrt_ica_malnutrition_geonode_20181022)

This layer contains information about the malnutrition levels - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Mauritania i 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS Unit and Programme division. Data source: Food Security Monitoring System (FSMS) & Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2011-2015. The main indicator used for the analysis was the average prevalence of Global Acute Malnutrition (GAM), classified according to the guidelines suggested by the World Health Organization (WHO). Cette couche contient informations regard les niveaux de malnutrition – par unité administrative de première niveau – observés pendant l’Analyse Integrée du Contexte (AIC) executée en Niger entre 2017 et 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Food Security Monitoring System (FSMS) & Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2011-2015. L’indicateur principale utilisé pour l’analyse était la prévalence moyenne de Malnutrition Aigüe Globale (MAG), classifiée selon les normes et la gamme de valeurs classés de l’OMS 2006.

ICA Mauritania, 2017 - Most Predominant Livelihood Zones, 2013 (geonode:mrt_ica_predlhz_geonode_20181022)

This layer contains information about the most predominant livelihood zones - by first-level administrative area - identified during the Integrated Context Analysis (ICA) run in Mauritania in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data source: Fewsnet, 2013. Cette couche contient informations regard les zones de moyens d’existence prédominant – par unité administrative de première niveau – identifiées pendant l’Analyse Integrée du Contexte (AIC) executée en Mauritanie en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Fewsnet, 2013.

ICA Malawi, 2014 - First-level Administrative Boundaries (geonode:mwi_bnd_admin1)

This layer contains the first-level administrative unit boundaries (provinces) for Malawi. Data source: WFP

ICA Malawi, 2014 - ICA Categories & Areas (geonode:mwi_ica_categories_areas_geonode_20140612)

This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) run in Malawi in 2014, showing areas of convergence between recurrence of food insecurity and high propensity to natural shocks.

Malawi, Drought Risk, June 2014 (geonode:mwi_ica_npgs_20170531)

This layer contains information about the drought risk in Malawi, as analysed by the ICA. The key indicator used for the analysis was the number of poor growing seasons in the period between 2004 and 2013. Source: Malawi CO VAM, MEPED & DoDMA

ICA Malawi, 2014 - Flood Risk, 2000-2013 (geonode:mwi_nhr_floodrisk_geonode_20140612)

This layer contains information about the flood risk estimated during the Integrated Context Analysis (ICA) run in Malawi in 2014. Data source: Department of Disasters Management Affairs (DoDMA) 2000-2013, VAM - MEPED. The key indicator used for the analysis was the historical number of flood events.

ICA Malawi, 2014 - Predominant Livelihood Zones, 2009 (geonode:mwi_phy_predlhz_geonode_20140612)

This layer contains information about the predominant livelihood zones - by district level - identified during the Integrated Context Analysis (ICA) run in Malawi in 2014. Data source: Malawi Vulnerability Assessment Committee (MVAC), 2009.

ICA Malawi, 2014 - Human Settlements, 2007 (geonode:mwi_pop_settlements_gd_geonode_20140612)

This layer contains information about the main human settlements, codified with the ICA Category of the relative province, used in the Integrated Context Analysis (ICA) run in Malawi in 2014. Data source: Global Discovery, 2007.

ICA Malawi, 2014 - Estimated Numbers of Food Insecure People, 2009-2013 (geonode:mwi_wfp_estimatedfipeople_geonode_20140612)

This layer contains information about the estimated numbers of food insecure people used in the Integrated Context Analysis (ICA) run in Malawi in 2014. Data source: Malawi Vulnerability Assessment Committee (MVAC) & Household Economic Analysis (HEA), 2009-2013. The key indicators used for the analysis were the food insecure population figures and percentages.

ICA Malawi, 2014 - Malnutrition, 2010 (geonode:mwi_wfp_malnutrition_geonode_20140612)

This layer contains information about the malnutrition levels estimated during the Integrated Context Analysis (ICA) run in Malawi in 2014. Data source: Demographic and Health Survey (DHS), 2010. The key indicators used for the analysis were the prevalence of stunting and Global Acute Malnutrition (GAM) in children aged below 5 years.

ICA Niger, 2018 - ICA Categories & Areas (geonode:ner_ica_categories_areas_geonode_may2018)

This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) performed in Niger between 2017 and 2018, showing the areas of convergence of high levels of food insecurity recurrence and major propensity to natural shocks (floods and droughts). The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS unit and Programme division. Cette couche contient informations regard la classification finale résultant de l'Analyse Integrée de Contexte (AIC) executée en Niger entre 2017 et 2018, montrant les zones de convergence de niveaux elevés de récurrence d'insécurité alimentaire et propension aux chocs naturels (inondations et sècheresse). L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM.

ICA Niger, 2018 - Estimated Numbers of Food Insecure People, 2013-2017 (geonode:ner_ica_estimatedfipeople_geonode_may2018)

This layer contains information about the numbers of food insecure people - by second-level administrative unit - estimated for the purposes of the Integrated Context Analysis (ICA) run in Niger between 2017 and 2018. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data source: Food Security Monitoring System (FSMS), 2013-2017. The main indicators in the shapefile are the percentage of food insecure population for long-term planning, the most vulnerable food insecure people and the additional population figures in case of a major shock. Cette couche contient informations regard les nombres de personnes exposées à l'insécurité alimentaire - par unité administrative de deuxième niveau - employées pendant l'Analyse Integrée du Contexte (AIC) executée en Niger entre 2017 et 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Food Security Monitoring System (FSMS), 2013-2017. Les indicateurs principaux utilisés pour l'analyse étaient la pourcentage de population exposée à l'insécurité alimentaire pour la planification à long-terme, la population la plus vulnerable et le nombre de personnes supplémentaires en cas de choc.

ICA Niger, 2018 - Flood Risk, 2013 (geonode:ner_ica_floodrisk_geonode_may2018)

This layer contains information about the flood risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Niger between 2017 and 2018. The analysis is the result of a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data sources: UNEP/UNISDR GAR 2013. The main indicators used for the analysis were the percentage of district surface at flood risk and the maximum expected frequency of flood events with a 100-year return period. Cette couche contient informations regard le risque d’inondations – par unité administrative de deuxième niveau – estimé pendant l’Analyse Integrée du Contexte (AIC) executée en Niger entre 2017 et 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données : UNEP/UNISDR GAR, 2013. Les indicateurs principaux utilisées pour l’analyse étaient la pourcentage de surface a risuqe d’inondation et l’attente maximale attendue des inondations.

ICA Niger, 2018 - Prevalence of Global Acute Malnutrition, 2016 (geonode:ner_ica_malnutrition_geonode_may2018)

This layer contains information about the malnutrition levels - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Niger between 2017 and 2018. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS Unit and Programme division. Data source: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2016. The main indicator used for the analysis was the prevalence of Global Acute Malnutrition (GAM), with a threshold set to 10% according to the guidelines suggested by the World Health Organization (WHO). Cette couche contient informations regard les niveaux de malnutrition – par unité administrative de première niveau – observés pendant l’Analyse Integrée du Contexte (AIC) executée en Niger entre 2017 et 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. L’indicateur principale utilisé pour l’analyse était la prévalence de Malnutrition Aigüe Globale (MAG), avec un seuil d’alerte fixé à 10%, selon les normes et la gamme de valeurs classés de l’OMS 2006.

ICA Niger, 2018 - Most Predominant Livelihood Zones, 2011 (geonode:ner_ica_predlhz_geonode_may2018)

This layer contains information about the most predominant livelihood zones - by second-level administrative area - identified during the Integrated Context Analysis (ICA) run in Niger between 2017 and 2018. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data source: Fewsnet, 2011. Cette couche contient informations regard les zones de moyens d’existence prédominant – par unité administrative de deuxième niveau – identifiées pendant l’Analyse Integrée du Contexte (AIC) executée en Niger entre 2017 et 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Fewsnet, 2011.

Nigeria Road Network (main roads) (geonode:nga_trs_roads_osm)

This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include streets that have been published on a separate dataset (Nigeria Road Network (streets)).

Nepal State/Province Boundary (geonode:npl_bnd_admin1_2018_1)

This is a provincial boundary layer of Nepal. Province is the first level of country subdivisions. The source of data is the Department of Survey of Nepal. An Spatial adjustment is done to fit the layer with existing boundary layer of WFP for internal mapping purpose.

Nepal Municipality Boundary (geonode:npl_bnd_admin3_2018)

Municipalities are local level unit under new federal structure in Nepal. However, for mapping purpose municipality layer falls under Admin level 3 for visualization purpose. This layer is generated by Department of Survey of Nepal, the name of the municipalities and rural municipalities are subjected to change.Therefore one may need to visit Survey Department at Kathmandu to get the updated information.

pak_edu_institute (geonode:pak_edu_institute)

No abstract provided

pak_edu_institute_fata (geonode:pak_edu_institute_fata)

No abstract provided

ICA Pakistan, FATA, 2017 - ICA Categories & Areas (geonode:pak_fata_ica_categories_areas_geonode_apr2017)

This layer contains information about the final categorization, in the Federally Administered Tribal Areas (FATA), resulting from the Integrated Context Analysis (ICA) run in Pakistan in 2017, showing areas of convergence between high levels of food insecurity and propensity to natural shocks.

ICA Pakistan, 2017 - Additional Hazards (geonode:pak_ica_additionalhazards_geonode_apr2017)

This layer contains information about the additional environmental hazards - landslides, Glacial Lake Outburst Flood (GLOF) and earthquakes - estimated during the Integrated Context Analysis (ICA) run in Pakistan in 2017. Data source: NDMA 1950-2015 (landslides and GLOF), NDMA 1905-2015 (earthquakes). The key indicators used for the analysis were 5-point scales of hazard levels ranging from very low to very high. It should be noted that these additional hazards represent aggravating factors that can provide further details to refine broad programmatic strategies, but are not to be considered as stand-alone maps. For the purpose of this analysis, only the high and very high hazards have been mapped on top of the ICA Areas (see the relative static maps for further details).

ICA Pakistan, 2017 - Drought Hazard, 1951-2010 (geonode:pak_ica_droughtrisk_geonode_apr2017)

This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) performed in Pakistan in 2017. Data source: National Drought Monitoring Centre of the Pakistan Meteorological Department (PMD), 1951-2010. The key indicator used for the analysis was a drought hazard index based on SPI data.

ICA Pakistan, 2017 - Flood Hazard, 1950-2015 (geonode:pak_ica_floodrisk_geonode_apr2017)

This layer contains information about the flood risk estimated during the Integrated Context Analysis (ICA) performed in Pakistan in 2017. The indicator used was the number of flood events recorded between 1950 and 2015 and the severity by which they were affected by the super-flood in 2010. Source: National Disaster Management Agency (NDMA) for Pakistan.

ICA Pakistan, 2017 - Combined Hazard (Floods and Droughts) (geonode:pak_ica_naturalshocks_geonode_apr2017)

This layer contains information about the reclassification of the natural shocks risk (floods and drought) into a single combined score according to the Integrated Context Analysis (ICA) performed in Pakistan in 2017.

TEST ACR 2018 - WFP Activities in Pakistan (geonode:pakistan_1)

No abstract provided

ICA Philippines, 2014 - Tropical Storm (above Category 3) Occurrence, 2002-2012 (geonode:phl_ica_cycloneoccurrence_geonode_mar2014)

This layer contains information about the occurrence of tropical storms above Category 3 - according to the Saffir-Simpson scale and by second-level administrative area - used for the purposes of the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data source: National Oceanic and Atmospheric Administration (NOAA) IBTrACS, 2002-2012. The main indicator used for the analysis was the number of times that a province was hit, in the time frame of interest, by a tropical storm above Category 3.

ICA Philippines, 2014 - ICA Categories & Focus Areas (geonode:phl_ica_focusareas_geonode_mar2014)

This layer contains information about the final classification resulting from the Integrated Context Analysis (ICA) run in the Philippines in 2014, showing the areas of convergence between recurrence of poverty incidence and propensity to natural shocks (floods, tropical storms, landslides and tree cover change).

ICA Philippines, 2014 - Average Landslide Risk, 2014 (geonode:phl_ica_landsliderisk_geonode_mar2014)

This layer contains information about the average landslide risk - by second-level administrative area - used for the purposes of the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data source: National Household Targeting System and Mines and Geosciences Bureau. The main indicator used for the analysis was the average flandslide risk by barangay reaggregated by province level.

ICA Philippines, 2014 - Recurrence of Poverty Incidence, 2006-2012 (geonode:phl_ica_povertyrecurrence_geonode_mar2014)

This layer contains information about the recurrence of poverty incidence - by second-level administrative area - observed during the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data sources: Philippines National Statistical Coordination Board (NSCB), 2006-2012. It should be noted that, in absence of national food security information, poverty data has been used as a proxy to food insecurity - assuming that families below the poverty line are likely to be food insecure. Also, in the Philippines official methodology, the poverty line may be viewed as the minimum income required to meet food requirements as well as non-food basic needs. The main indicator used for the analysis was the recurrence of poverty incidence, with a threshold set to 30% of the families to represent 1 out of 3 people below the poverty line.

Papua New Guinea Admin Boundaries Level 1 (Provinces) (geonode:png_adm1_un)

This layer includes administrative boundaries level 1 as per the standard structure of the GeoEnabler project. Admin1

Papua New Guinea Admin Boundaries Level 3 (LLGs) (geonode:png_adm3_un)

This layer includes administrative boundaries level 3 as per the standard structure of the GeoEnabler project.

Stability: Number of Poor Growing Seasons, Ministry of Emergency Situations 2009 (geonode:poor_growing)

No abstract provided

Access: Poverty incidence excluding income from remittances, National Statistics Committee 2013 (geonode:poverty_incidence_exc)

No abstract provided

Utilization: Proportion of children under two years old fed with IYCF practices, National Demographic and Health Survey 2012 (geonode:proportion_child)

No abstract provided

Utilization: Proportion of population without access to improved water sources, National Demographic and Health Survey 2012 (geonode:proportion_households)

No abstract provided

Access: Proportion of MBPF recipients, Ministry of Social Development (2014) (geonode:proportion_of_mbpf_recipient_2)

No abstract provided

Access: Average daily per capita protein consumption, National Statistics Committee 2013 (geonode:protein_consumption)

No abstract provided

RBB WFP ACR Countries 2020 (geonode:rbb_acrs_2020_data)

No abstract provided.

RBB WFP ACR Countries 2019 (geonode:rbb_wfp_acrcountries_2019)

No abstract provided

RBC WFP ACR Countries 2021 (geonode:rbc_acrs_2021_data)

No abstract provided.

RBD WFP ACR Countries 2020 (geonode:rbd_acrs_2020_data)

No abstract provided.

rbd_ch_november_2017_SEN (geonode:rbd_ch_november_2017_phases_1)

No abstract provided

RBJ WFP ACR countries 2020 (geonode:rbj_acrs_2020_data)

No abstract provided.

rbj_acrs_2021_data_tst (geonode:rbj_acrs_2021_data_tst)

RBN WFP ACR Countries 2020 (geonode:rbn_acrs_2020_data)

No abstract provided.

RBN WFP ACR Countries 2019 (geonode:rbn_wfp_acrcountries_2019_1)

No abstract provided

RBP WFP ACR Countries 2021 (geonode:rbp_acrs_2021_data)

No abstract provided.

Stability: Recurrence of floods, Ministry of Emergency Situations 2009 (geonode:recurrence_of_floods)

No abstract provided

Stability: Recurrence of mudflows, Ministry of Emergency Situations 2009 (geonode:recurrence_of_mudfloods)

No abstract provided

Sahel Food security and Nutrition priority Areas (geonode:sahel_fs_nut_priority_area_20180319)

No abstract provided

ICA Sudan, 2018 - Estimated Numbers of Food Insecure People, 2014-2017 (geonode:sdn_ica_adm1_estimatedfipeople_geonode_20180201)

This layer contains information about the numbers of food insecure people - by first-level administrative unit - estimated for the purposes of the Integrated Context Analysis (ICA) run in Mali in 2017. It should be noted that estimates of food insecure people were available only starting from 2014 onwards and, due to access constraints, some of the states were not covered by the survey. Data source: Integrated Phase Classification (IPC), 2014-2017. The main indicators used for the analysis were the percentage of food insecure population for long-term planning and the additional population figures in case of a major shock.

ICA Sudan, 2018 - Drought Risk, 1982-2017 (geonode:sdn_ica_droughtrisk_geonode_20180201)

This layer contains information about the drought risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Sudan in 2018. Data source: HQ VAM Analysis of Chirps Rainfall Estimates (RFE), 1982-2017. The main indicators used for the analysis were the number of poor growing seasons observed in the time window of interest and the inter-annual rainfall variability.

ICA Sudan, 2018 - Flood Risk, 2013 (geonode:sdn_ica_floodrisk_geonode_20180201)

This layer contains information about the flood risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Sudan in 2018. Data sources: UNEP/UNISDR, GAR 2013. The main indicators used for the analysis were the percentage of district surface at flood risk and the maximum expected frequency of flood events with a 100-year return period.

ICA Sudan, 2018 - Prevalence of Malnutrition, 2013 (geonode:sdn_ica_malnutrition_geonode_20180201)

This layer contains information about the malnutrition levels - by second-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Sudan in 2018. Data source: Simple Spatial Survey Method (S3M), 2013. The main indicators used for the analysis were the overall prevalences of stunting and wasting, with thresholds consistent with the guidelines suggested by the World Health Organization (WHO).

ICA Sudan, 2018 - Most Predominant Livelihood Zones, 2014 (geonode:sdn_ica_predlhz_geonode_20180201)

This layer contains information about the most predominant livelihood zones - by second-level administrative area - identified during the Integrated Context Analysis (ICA) run in Sudan in 2018. Data source: Fewsnet, 2011

Sudan Central Jabal Mara GFD (geonode:sdn_poi_cjm_gfd_wfp)

Central Darfur , Central Jabal Mara General Food Distribution 2019

Central Jabal Mara TSFP (geonode:sdn_poi_cjm_tsfp_wfp)

Central Darfur ,Central Jabal Mara TSFP Nutrition 2019

Darfur IDPs Camps 2018 (geonode:sdn_poi_df_idps_2018_wfp)

Darfur IDPs Camps 2018

Red Sea State FFE (geonode:sdn_poi_rs_ffe_wfp)

Red Sea State FFE 2018

sen_ch_november_2017_phases (geonode:sen_ch_november_2017_phases)

No abstract provided

ICA Senegal, 2017 - Drought Risk, 1981-2015 (geonode:sen_ica_droughtrisk_geonode_20170508)

This layer contains information about the drought risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Senegal in 2017. The analysis is a joint effort between the Regional Bureau in Dakar (RBD), the HQ GIS Unit and Programme division. Data source: HQ VAM Analysis of Chirps Rainfall Estimates (RFE), 1981-2015. The main indicator used for the analysis was the maximum number of poor growing seasons observed in the time window of interest. Cette couche contient informations regard le risque de sècheresse – par unité administrative de deuxième niveau – estimée pendant l’Analyse Integrée du Contexte (AIC) executée en Senegal en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: HQ VAM Analyse des données CHIRPS d’estimation des precipitations, 1981-2015. L'indicateur principale utilisé pour l'analyse était le nombre maximale de saisons qui ont connu un déficit hydrique (mauvaises saisons de croissance).

ICA Senegal, 2017 - Recurrence of Food Insecurity, 2010-2017 (geonode:sen_ica_firecurrence_geonode_20170508)

This layer contains information about the food security trend analysis - by second-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Senegal in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data source: Analyse Globale de la Vulnérabilité, de la Sécurité Alimentaire et de la Nutrition (AGVSAN) 2010, Enquêtes Nationales sur la Sécurité Alimentaire et Nutrition (ENSAN) 2013, Enquêtes Rurale sur la Sécurité Alimentaire et la Nutrition (ERASAN) 2014, Enquête Nationale sur la Sécurité Alimentaire au Sénégal (ENSAS) 2016, Sites Sentinelles 2017. The main indicator used for the analysis was the Food Consumption Score (FCS), with a threshold set to 20% considering that the national averages revolve around this number. Cette couche contient les données d’une analyse de tendance de la sécurité alimentaire – par unité administrative de deuxième niveau – employée pendant l’Analyse Integrée du Contexte (AIC) executée en Senegal en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Analyse Globale de la Vulnérabilité, de la Sécurité Alimentaire et de la Nutrition (AGVSAN) 2010, Enquêtes Nationales sur la Sécurité Alimentaire et Nutrition (ENSAN) 2013, Enquêtes Rurale sur la Sécurité Alimentaire et la Nutrition (ERASAN) 2014, Enquête Nationale sur la Sécurité Alimentaire au Sénégal (ENSAS) 2016, Sites Sentinelles 2017. L’indicateur principale utilisé pour l’analyse était le score de consommation alimentaire avec un seuil fixé à 20%, compte tenu du fait que les prévalences sont élevées et que les moyennes nationales tournent autour de ce seuil.

ICA Senegal, 2017 - Land Degradation, 2001-2012 (geonode:sen_ica_landdegradation_geonode_20170508)

This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Senegal in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data sources: HQ OSEP GIS Analyse des données NASA MODIS 2001-2012, WorldClim 1970-2000, FAO et NASA SRTM Digital Elevation Model. The main indicators used for the analysis were the average ecological changes observed between 2001 and 2012 and the percentage of erosion-prone surface. Cette couche contient les données necessaires pour determiner le niveau de dégradation des terres – par unité administrative de deuxième niveau – observé pendant l’Analyse Integrée du Contexte (AIC) executée en Senegal en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: HQ OSEP GIS Analyse des données NASA MODIS 2001-2012, WorldClim 1970-2000, FAO et NASA SRTM Digital Elevation Model. Les indicateurs principaux utilisés pour l'analyse étaient les changements moyens de couverture du sol observés entre 2001 et 2012 et la pourcentage de surface ayant une propension à l'érosion significative.

ICA Senegal, 2017 - Natural Shocks Risk (geonode:sen_ica_naturalshocksrisk_geonode_20170508)

This layer contains information about the natural shock risk (floods and droughts) estimated during the Integrated Context Analysis (ICA) performed in Senegal in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD), the HQ GIS Unit and Programme division. Data sources: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE) 1981-2015. Cette couche contient informations regard le risque des chocs naturels (inondations et sècheresse) estimé pendant l’Analyse Integrée du Contexte (AIC) executée en Senegal en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données : UNEP/UNISDR GAR 2013, HQ VAM Analyse des données CHIRPS d’estimation des precipitations 1981-2015.

ICA Senegal, 2017 - Most Predominant Livelihood Zones, 2015 (geonode:sen_ica_predlhz_geonode_20170508)

This layer contains information about the most predominant livelihood zones - by second-level administrative area - identified during the Integrated Context Analysis (ICA) run in Senegal in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data source: Fewsnet, 2015. Cette couche contient informations regard les zones de moyens d’existence prédominant – par unité administrative de deuxième niveau – identifiées pendant l’Analyse Integrée du Contexte (AIC) executée en Senegal en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Fewsnet, 2015.

Integrated Context Analysis: Recurrence of poverty, National Statistics Committee 2013 (geonode:six_one_1)

No abstract provided

skai_test_haiti (geonode:skai_test_haiti)

ICA Sierra Leone, 2017 - ICA Categories & Areas (geonode:sle_ica_categories_areas_geonode_20170517)

This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) run in Sierra Leone in 2017. The final categorization shows areas of convergence between high recurrence of food insecurity and propensity to natural shocks

ICA Sierra Leone, 2017 - Recurrence of Food Insecurity, 2011-2017 (geonode:sle_ica_firecurrence_geonode_20170517)

This layer contains information about the recurrence of food insecurity observed during the Integrated Context Analysis (ICA) run in Sierra Leone in 2017. Data souce: Comprehensive Food Security and Vulnerability Analysis (CFSVA) 2011-2015, Cadre Harmonise 2015-2017. It should be noted that two data sources, with different food security classification methodologies, have been used for the purposes of this analysis. The two main indicators used for the analysis were: - the poor Food Consumption Score, developed under the CFSVA, with a threshold set to 20% because it represents the national average according to the 2015 survey; - the number of times that an IPC Phase 3 or above was experienced in each district within the time window considered.

ICA Sierra Leone, 2017 - Land Degradation, 2001-2012 (geonode:sle_ica_landdegradation_geonode_20170517)

This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) run in Sierra Leone in 2017. Data source: HQ OSEP GIS Analysis of NASA MODIS, 2001-2012. The main indicators used for the analysis were the average land cover change observed within the time frame considered and the percentage of district erosion-prone surface.

ICA Sierra Leone, 2017 - Prevalence of Stunting, 2014 (geonode:sle_ica_malnutrition_geonode_20170517)

This layer contains information about the malnutrition status estimated during the Integrated Context Analysis (ICA) run in Sierra Leone in 2017. Data sources: Standardized Monitoring and Assessment of Relief and Transition (SMART), 2014. The main indicator used for the analysis was the prevalence of stunting in children aged below 5 years, classified according to the guidelines and thresholds suggested by the WHO. It should be noted that the data collection teams were unable to gather information for Bonthe and Kailahun districts because of restricted access caused by the Ebola Virus Disease (EVD) outbreak.

ICA Somalia, 2018 - Combined Natural Shock Hazard (floods and droughts) (geonode:som_ica_drandflhazard_geonode_dec2018)

This layer contains information about the combined natural shock (floods and droughts) hazard estimated during the Integrated Context Analysis (ICA) run in Somalia in 2018. Data sources: FAO SWALIM 2002-2006 & 2017, CHIRPS 1998-2017, NDVI MODIS 1998-2017.

ICA Somalia, 2018 - Recurrence of Food Insecurity, 2012-2017 (geonode:som_ica_firecurrence_dec2018)

This layer contains information about the food security trend analysis - by livelihood zone - used for the purposes of the Integrated Context Analysis (ICA) run in Somalia in 2018. Data source: Food Security and Nutrition Analysis Unit - Somalia (FSNAU), 2012-2017 The main indicator used for the analysis were the recurrence of IPC, multiplied by severity in order to have a weighted score, and the proportion of population in phases 3 to 5, with a threshold set to 20%.

ICA Somalia, 2018 - Land Degradation, 2010-2014 (geonode:som_ica_landdegradation_dec2018)

This layer contains information about the land degradation phenomenon - by livelihood zone - observed for the purposes of the Integrated Context Analysis (ICA) run in Somalia in 2018. Data sources: Regional Centre for Mapping of Resources for Development (RCMRD) and IGAD Climate Prediction and Applications Centre (ICPAC)/Monitoring of the Environment for Security in Africa (MESA), 2010-2014. The main indicators used for the analysis were the average level (severity) of degradation and the percentage of surface area under moderate to very high levels of degradation by livelihood zone. Average level of degradation: [Low] ( 3.44). Percentage of surface area under moderate to very high levels of degradation: [Low] ( 70%).

ICA Somalia, 2018 - Natural Shock Hazard (geonode:som_ica_naturalshockhazard_geonode_dec2018)

This layer contains information about the natural shock hazard (floods, droughts and land degradation) - by livelihood zone - estimated during the Integrated Context Analysis (ICA) performed in Somalia in 2018. Data sources: FAO SWALIM 2002-2006 & 2017, CHIRPS 1998-2017, NDVI MODIS 1998-2017, Regional Centre for Mapping of Resources for Development (RCMRD) and IGAD Climate Prediction and Applications Centre (ICPAC)/Monitoring of the Environment for Security in Africa (MESA), 2010-2014.

south_sudan_access_constraints (geonode:south_sudan_access_constraints)

No abstract provided.

south_sudan_access_constraints_shp_201911221 (geonode:south_sudan_access_constraints_shp_201911221)

south sudan access constraints shp for 20200807 (geonode:south_sudan_access_constraints_shp_20191122_old)

south sudan access constraints shp for 20200807

ICA South Sudan, 2016 - Drought Risk, 1998-2014 (geonode:ssd_ica_droughtrisk_geonode_feb2016)

This layer contains information about the drought risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in South Sudan in 2016. Data source: HQ VAM Analysis of NDVI data, 1998-2014. The main indicators used for the analysis were the most prelevant number of poor growing seasons and the percentage of surface area affected by one or more poor growing seasons.

ICA South Sudan, 2016 - Flood Risk, 2011 (geonode:ssd_ica_floodrisk_geonode_feb2016)

This layer contains information about the flood risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in South Sudan in 2016. Data sources: UNEP/UNISDR GAR 2011. The main indicators used for the analysis were the percentage of district surface at flood risk and the maximum expected frequency of flood events with a 100-year return period.

ICA South Sudan, 2016 - ICA-Coded Human Settlements (geonode:ssd_ica_mainsettlements_geonode_feb2016)

This layer contains information about the main human settlements , codified by the ICA Categories of the relative second-level administrative area, used in the Integrated Context Analysis (ICA) run in South Sudan in 2016.

ICA South Sudan, 2016 - Natural Shock Risk (geonode:ssd_ica_naturalshockrisk_geonode_feb2016)

This layer contains information about the natural shock risk (floods and droughts) estimated during the Integrated Context Analysis (ICA) performed in South Sudan in 2016. Data sources: UNEP/UNISDR GAR 2011, HQ VAM Analysis of NDVI data, 1998-2012.

ssd_lc_op_accessconstraints_a3l_20220407 (geonode:ssd_lc_op_accessconstraints_a3l_20220407)

sudan_final (geonode:sudan_final)

No abstract provided

ICA Eswatini, 2019 - Recurrence of prevalence of stunting, 2009-2018 (geonode:swz_ica_adm1_malnutrition_20190930)

This layer contains information about the recurrence of prevalence of stunting - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Eswatini in 2019. Data source: Eswatini Vulnerability Assessment and Analysis coordinated by the Eswatini Vulnerability Assessment Committee and the Central Statistics Office, 2009-2018. The key indicator used for the purposes of the analysis was the prevalence of stunting in children under the age of 5, with a threshold set at 20% because, according to the guidelines suggested by the World Health Organization (WHO), this is the break between the classes 'Medium' and 'High'.

ICA Eswatini, 2019 - Drought hazard, 1981-2018 (geonode:swz_ica_adm2_droughthazard_20190930)

This layer contains information about the drought hazard - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Eswatini in 2019. Data source: HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE), 1981-2015. The main indicator used for the analysis was the number of poor growing seasons observed in the time window of interest.

ICA Eswatini, 2019 - Recurrence of food insecurity, 2011-2019 (geonode:swz_ica_adm2_firecurrence_20190930)

This layer contains information about the food security trend analysis - by second-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Eswatini in 2019. Data source: Eswatini Vulnerability Assessment and Analysis coordinated by the Eswatini Vulnerability Assessment Committee and the Central Statistics Office, 2011-2019. The key indicators used for the purposes of the analysis were the Food Consumption Score (FSC) and the Coping Strategy Index (CSI), with a threshold set at 20% because national average of food insecurity, throughout the available rounds, was found to be 18.75%.

ICA Eswatini, 2019 - Land Degradation, 2001-2016 (geonode:swz_ica_adm2_landdegradation_20190930)

This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Eswatini in 2019. Data sources: HQ OSE GIS Analysis of NASA MODIS 2001-2016, WorldClim 1970-2000, FAO and NASA SRTM Digital Elevation Model data. The main indicators used for the analysis were the average ecological changes observed between 2001-2006 and 2011-2016 and the percentage of erosion-prone surface.

ICA Eswatini, 2019 - Natural shocks hazard (geonode:swz_ica_adm2_nshazard_20190930)

This layer contains information about the severity of natural hazards (floods and droughts) estimated during the Integrated Context Analysis (ICA) performed in Eswatini in 2019. Data sources: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE) 1981-2018.

ICA Syrian Arab Republic, 2020 - ICA Categories & Areas (geonode:syr_ica_categories_areas_geonode_20200305)

This layer contains information about the final categorization resulting from the update of the Integrated Context Analysis (ICA) performed in the Syrian Arab Republic in 2020, showing the areas of convergence of high levels of food insecurity recurrence and major propensity to natural shocks (floods and droughts).

ICA Syrian Arab Republic, 2018 - Drought Hazard, 1982-2016 (geonode:syr_ica_droughthazard_20181204)

This layer contains information about the drought hazard - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in the Syrian Arab Republic between 2018 and 2019. Data source: HQ VAM Analysis of Chirps Rainfall Estimates (RFE), 1982-2016. The main indicator used for the analysis was the number of poor growing seasons observed between 2012 and 2016 (using as benchmark the 35-years average) and the percentage of interannual rainfall variability observed between 1982-2016.

ICA Syrian Arab Republic, 2018 - Estimated Numbers of Food Insecure People, 2015-2018 (geonode:syr_ica_estimatedfipeople_20181204)

This layer contains information about the numbers of food insecure people - by second-level administrative unit - estimated for the purposes of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic between 2018 and 2019. Data source: FSA, FSLA-FSA and CFSAM-FSA, 2015-2018. The main indicators used for the analysis were the percentage of food insecure population for long-term planning and the population at risk of food insecurity.

ICA Syrian Arab Republic, 2018 - Recurrence of Food Insecurity, 2015-2018 (geonode:syr_ica_firecurrence_20181204)

This layer contains information about the food security trend analysis - by second-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic between 2018 and 2019. Data source: FSA, FSLA-FSA and CFSAM-FSA, 2015-2018. The main indicator used for the analysis was the CARI (Consolidated Approach to Reporting Indicators of Food Security) indicator, with a threshold - referring to moderately and severely food insecure households - set to 30%.

ICA Syrian Arab Republic, 2018 - Flood Hazard, 2013 (geonode:syr_ica_floodhazard_20181204)

This layer contains information about the flood hazard - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in the Syrian Arab Republic between 2018 and 2019. Data sources: UNEP/UNISDR GAR 2013. The main indicators used for the analysis were the percentage of department surface at flood risk and the maximum expected frequency of flood events with a 100-year return period.

ICA Syrian Arab Republic, 2018 - Land Degradation, 2001-2016 (geonode:syr_ica_landdegradation_20181204)

This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic between 2018 and 2019. Data sources: HQ OSEP GIS Analysis of NASA MODIS 2001-2016, WorldClim 1970-2000, FAO and NASA SRTM Digital Elevation Model data. The main indicators used for the analysis were the average ecological changes observed between 2001-2006 and 2011-2016 and the percentage of erosion-prone surface.

ICA Syrian Arab Republic, 2018 - Prevalence of Malnutrition, 2016 (geonode:syr_ica_malnutrition_20181204)

This layer contains information about the malnutrition levels - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic between 2018 and 2019. Data source: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2016. The main indicators used for the analysis were the prevalence of Global Acute Malnutrition (GAM) and stunting, with thresholds set according to the guidelines suggested by the World Health Organization (WHO).

ICA Syrian Arab Republic, 2018 - Two Most Dominant Land Cover Classes, 2016 (geonode:syr_ica_mostpredlcc_20181204)

This layer contains information about the two most dominant land cover classes - by second-level administrative area - observed during the Integrated Context Analysis (ICA) run in the Syrian Arab Republic between 2018 and 2019. Data source: NASA MODIS, 2016.

ICA Syrian Arab Republic, 2018 - Natural Shock Hazard (geonode:syr_ica_natshockhazard_20181204)

This layer contains information about the natural shock hazard (floods and droughts) - by second-level administrative unit - estimated during the Integrated Context Analysis (ICA) performed in the Syrian Arab Republic between 2018 and 2019. Data sources: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE) 1982-2016.

Tajikistan Administrative Boundaries Level 1, Gaul 2015 (geonode:tajikistan_tajikistan)

No abstract provided

ICA Chad, 2017 - Drought Risk, 1981-2015 (geonode:tcd_ica_droughtrisk_geonode_mar2017)

This layer contains information about the drought risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Chad in 2017. The analysis is a joint effort between the Regional Bureau in Dakar (RBD), the HQ GIS Unit and Programme division. Data source: HQ VAM Analysis of Chirps Rainfall Estimates (RFE), 1981-2015. The main indicator used for the analysis was the number of poor growing seasons observed in the time window of interest. Cette couche contient informations regard le risque de sècheresse – par unité administrative de deuxième niveau – estimée pendant l’Analyse Integrée du Contexte (AIC) executée en Tchad en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: HQ VAM Analyse des données CHIRPS d’estimation des precipitations, 1981-2015. L'indicateur principale utilisé pour l'analyse était le nombre de saisons qui ont connu un déficit hydrique (mauvaises saisons de croissance).

ICA Chad, 2017 - Recurrence of Food Insecurity, 2011-2016 (geonode:tcd_ica_firecurrence_geonode_mar2017)

This layer contains information about the food security trend analysis - by second-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Chad in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data source: Enquête Nationale de la Sécurité (ENSA), 2011-2016. The main indicator used for the analysis was the Food Consumption Score (FCS), with a threshold - referring to poor and borderline households - set to 20%. Cette couche contient les données d’une analyse de tendance de la sécurité alimentaire – par unité administrative de deuxième niveau – employée pendant l’Analyse Integrée du Contexte (AIC) executée en Tchad en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Enquête Nationale de la Sécurité (ENSA), 2011-2016 L’indicateur principale utilisé pour l’analyse était le score de consommation alimentaire faible et limite, avec un seuil fixé à 20%.

ICA Chad, 2017 - ICA-Coded Human Settlements (geonode:tcd_ica_humansettlements_geonode_mar2017)

This layer contains information about the main human settlements , codified by the ICA Categories of the relative department, used in the Integrated Context Analysis (ICA) run in Chad in 2017. Cette couche contient information regard les principaux établissements humains, codifiés selon les Catégories ICA du département relatif, utilisés pour l'Analyse Integrée du Contexte (AIC) executée en Tchad en 2017.

ICA Chad, 2017 - Landslide Risk, 2013 (geonode:tcd_ica_landsliderisk_geonode_mar2017)

This layer contains information about the landslide hazard estimated - by second-level administrative area - during the Integrated Context Analysis (ICA) run in Chad in 2017. Data source: UNEP/UNISDR GAR 2013. The main indicators used for the analysis were the percentage of department surface at landslide hazard, the maximum expected frequency of landslide events. Cette couche contient informations regard le risque des glissements de terraine - par unité administrative de deuxième niveau - estimé pendant l'Analyse Integrée de Contexte (AIC) exécuté en Tchad en 2017. Sources des données: UNEP/UNISDR GAR 2013. Les indicateurs principales utilisés pour l'analyse étaient la pourcentage de surface à risque des glissements de terraine et l'attente maximale attendue des glissements de terraine.

ICA Chad, 2017 - Natural Shock Risk (geonode:tcd_ica_naturalshocksrisk_geonode_mar2017)

This layer contains information about the natural shock risk (floods and droughts) estimated during the Integrated Context Analysis (ICA) performed in Chad in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD), the HQ GIS Unit and Programme division. Data sources: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE) 1981-2015. Cette couche contient informations regard le risque des chocs naturels (inondations et sècheresse) estimé pendant l’Analyse Integrée du Contexte (AIC) executée en Tchad en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données : UNEP/UNISDR GAR 2013, HQ VAM Analyse des données CHIRPS d’estimation des precipitations 1981-2015.

ICA Chad, 2017 - Rapid On-Set Shock Risk, 2013 (geonode:tcd_ica_rapidonsetshocksrisk_geonode_mar2017)

This layer contains information about the rapid on-set shocks risk (floods and landslides) - by second-level administrative unit - estimated during the Integrated Context Analysis (ICA) run in Niger in 2017. Data source: UNEP/UNISDR GAR 2013. Cette couche contient informations regard le risque de chocs de déclanchement rapide (inondations et glissements de terrain) - par unité administrative de deuxième niveau - estimé pendant l'Analyse Integrée de Contexte (AIC) executé en Tchad en 2017. Source des données: UNEP/UNISDR GAR 2013.

Chad streets and pathways (geonode:tcd_trs_streets_osm)

This dataset is an extraction of streets and pathways from OpenStreetMap data made by WFP that follow UNSDIT standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include main roads that have been published on a separate dataset (Chad Road Network (main roads)).

tcd_viirs_20220811_v2 (geonode:tcd_viirs_20220811_v2)

td01_wfp_acrcountries_2019_shp_3 (geonode:td01_wfp_acrcountries_2019_shp_3)

No abstract provided

Cultivated land for crops - Tajikistan Vulnerability & Resilience Atlas, 2019 (geonode:tjk_agricland_cultivatedforcrop)

This layer shows the size of cultivated land used for food crops at district level in Tajikistan (2016)

Crops production (2016) - Tajikistan Vulnerability & Resilience Atlas, 2019 (geonode:tjk_cropproduction)

This layer shows production (MT) of different crops (2016) in Tajikistan at district level. The crops include Grains, Cotton, Potatoes, Vegetables, Melons, Fruits and Grapes. Layer is mapped to represent Grains (cereals) production (MT)

ICA Tajikistan, 2015 - ICA Categories & Areas (geonode:tjk_ica_categories_areas_geonode_20150215)

This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) run in Tajikistan in 2015, showing the areas of convergence between high levels of food insecurity and high propensity to natural shocks.

ICA Tajikistan, 2015 - Drought Risk, 1998-2011 (geonode:tjk_nhr_droughtfreq_geonode_20150215)

This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) run in Tajikistan in 2015. Data source: Committee of Emergency Situations and Civil Defense (CoES CD), 1998-2011. The key indicator used for the analysis is the overall number of drought disasters.

ICA Tajikistan, 2015 - Mudflow Risk, 1998-2011 (geonode:tjk_nhr_mudflowfreq_geonode_20150215)

This layer contains information about the mudflow risk estimated during the Integrated Context Analysis (ICA) run in Tajikistan in 2015. Data source: Committee of Emergency Situations and Civil Defense (CoES CD), 1998-2011. The key indicator used for the analysis was the overall number of mudflow/flash flood disasters.

ICA Tajikistan, 2015 - Rapid On-Set Shocks Risk, 1998-2011 (geonode:tjk_nhr_rapidonsetshocksrisk_geonode_20150215)

This layer contains information about the rapid on-set shocks risk (floods & mudflows) estimated during the Integrated Context Analysis (ICA) run in Tajikistan in 2015. Data source: Committee of Emergency Situations and Civil Defense (CoES CD), 1998-2011.

ICA Tajikistan, 2015 - Predominant Livelihood Zones, 2011 (geonode:tjk_phy_predlhz_geonode_20150215)

This layer contains information about the predominant livelihood zones - by district level - elaborated during the Integrated Context Analysis (ICA) run in Tajikistan in 2015. Data source: HQ OSEP GIS Analysis of Fewsnet, 2011.

ICA Tajikistan, 2015 - Human Settlements, 2007 (geonode:tjk_pop_settlements_gd_geonode_20150215)

This layer contains information about the geographical position (latitude and longitude) of the human settlements used during the Integrated Context Analysis (ICA) run in Tajikistan in 2015. Data source: Global Discovery, 2007.

tjk_stockpile_akah (geonode:tjk_stockpile_akah)

No abstract provided

tjk_usgs_shakemaps (prism:tjk_usgs_shakemaps)

tr01_wfp_acrcountries_2019 (geonode:tr01_wfp_acrcountries_2019)

No abstract provided

trayectoria_iota (geonode:trayectoria_iota)

ICA Tanzania, 2015 - Drought Risk, 2010-2014 (geonode:tza_nhr_droughtrisk_geonode_20150824)

This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) run in Tanzania in 2015 by first-level administrative area. Data source: HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE), 2010-2014. The key indicators used for the analysis were the percentage of surface affected by poor growing seasons and the maximum number of poor growing seasons.

ICA Tanzania, 2015 - Landslide Risk, 2011 (geonode:tza_nhr_landsliderisk_geonode_20150824)

This layer contains information about the landslide risk estimated during the Integrated Context Analysis (ICA) run in Tanzania in 2015 by first-level administrative area. Data source: UNEP/UNISDR GAR 2011. The key indicators used for the analysis were the maximum expected frequency of landslide events - with a 100-year return period - and the percentage of surface at landslide risk.

ICA Tanzania, 2015 - Rapid On-Set Shocks Risk, 2011 (geonode:tza_nhr_rapidonsetshocksrisk_geonode_20150824)

This layer contains information about the rapid on-set shocks risk (floods and landslides) estimated during the Integrated Context Analysis (ICA) run in Tanzania in 2015. Data source: UNEP/UNISDR GAR, 2011. The two Low/Medium/High classifications for flood and landslide risk have been combined together and merged to yield a single risk classification.

ICA Tanzania, 2015 - Most Predominant Livelihood Zones, 2008 (geonode:tza_phy_livelihoodzones_geonode_20150824)

This layer contains information about the most predominant livelihood zones - by first-level administrative area - identified during the Integrated Context Analysis (ICA) run in Tanzania in 2015. Data source: Fewsnet, 2008.

ICA Tanzania, 2015 - Recurrence of Food Insecurity, 2010-2014 (geonode:tza_wfp_firecurrence_geonode_20150824)

This layer contains information about the recurrence of food insecurity observed during the Integrated Context Analysis (ICA) run in Tanzania in 2015 by first-level administrative area. Data source: Ministry of Agriculture, Food Security and Cooperatives (MAFC), 2010-2014. The key indicator used for the analysis was the percentage of food insecure population, with a threshold set to 20% considering the analysis of historical data from the Comprehensive Food Security and Vulnerability Analysis (CFSVA) done in 2005 and 2010 and updated in 2012. It should be noted that the food security assessments were performed covering only the districts identified by early warning indicators (production forecasts) as experiencing significant crop loss of above 30% of normal production due to drought and other factors - meaning that uncategorized districts are actually food secure.

Indice de riesgo de victimización (geonode:uariv_irv_2015_wgs84)

El Índice de Riesgo Victimización apoya la implementación de acciones preventivas en materia de garantías de no repetición, a la luz del Plan Nacional de Atención y Reparación Integral a las Víctimas. Ser utilizado para comparar niveles de riesgo de victimización de los municipios del país. Servir como una herramienta complementaria de análisis en la toma de decisiones de política. Promover el desarrollo de políticas de prevención, ajustadas a los diferentes elementos generadores de riesgo de victimización por violaciones a los DD.HH o infracciones al DIH.

administrative boundaries Venezuela - Municipality (geonode:ven_admbnda_adm2_20180502)

The source of this information comes from the National Statistics Institute through the Humanitarian Data Exchange and OCHA FISS.

vientos_eta (geonode:vientos_eta)

World Humanitarian Topographic Layer (geonode:view_wld_grid_100ka1_wfp)

No abstract provided

WFP Colombia Offices (geonode:wfp_col_offices)

This layer contains the Field Offices and Country Office locations for WFP Colombia

Availability: Self-sufficiency of wheat, National Statistics Committee 2014 (geonode:wheat_self_sufficiency_2)

No abstract provided

Global Administrative Boundaries - Countries, Gaul 2015 (geonode:wld_bnd_adm0_gaul_2015_I)

Country boundaries from Gaul 2015. The GAUL compiles and disseminates the best available information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units.

wld_bnd_adm0_ge (geoenabler:wld_bnd_adm0_ge)

Global International Boundaries - Standard UNGIS (geonode:wld_bnd_admin0_l_unmap_2019)

Worldwide geospatial database consisting of country and geographic name information on a global scale. The data is designed for the production of cartographic documents and maps, including their dissemination via public electronic networks, for the Secretariat of the United Nations, as set forth in the Administrative Instruction of the Secretary-General of the United Nations concerning. Source: UNmap The designations employed and the presentation of material on this map do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Dotted line represents approximately the Line of Control in Jammu and Kashmir agreed upon by India and Pakistan. The final status of Jammu and Kashmir has not yet been agreed upon by the parties. Final boundary between the Republic of Sudan and the Republic of South Sudan has not yet been determined. Final status of the Abyei area is not yet determined. A dispute exists between the Governments of Argentina and the United Kingdom of Great Britain and Northern Ireland concerning sovereignty over the Falkland Islands (Malvinas).

Global WFP Presence by Regional Bureaux (geonode:wld_bnd_presence_wfp)

This layer provides information for the WFP presence on different counties, as well as the distribution of countries by RB. Any attributes which are blank or '0' had no data entered at the time of release. Its possible to contribute by giving your inputs at omep.gis@wfp.org.

Global Total Precipitation Forecast 1 Day (geonode:wld_cli_tp_1d_ecmwf)

This layer depicts global coverage of rain precipitation. The values correspond to the total rain precipitation of the last day. Based on ECMWF data model Units: meters Data Model Starts at 00 GMT Resolution: pixel size 0.125x0.125 degrees

Global Total Precipitation Forecast 7 Days (geonode:wld_cli_tp_7d_ecmwf)

This layer depicts global coverage of rain precipitation. The values correspond to the total rain precipitation of the last 7 days. Based on ECMWF data model Units: meters Data Model Starts at 00 GMT Resolution: pixel size 0.125x0.125 degrees

ETC Services (geonode:wld_etc_services_wfp)

No abstract provided

wld_gdacs_tc_events_nodes (prism:wld_gdacs_tc_events_nodes)

wld_ibtracs (geonode:wld_ibtracs)

Active Tropical Storm Wind Buffers (geonode:wld_nhr_adamtsbufferscurrent_wfp)

This layer depicts active tropical storms. Each buffer has information related to the wind speed and the affected population at three distances from the tropical storm's track. The data come from GDACS (European Commission Joint Research Center) and further analysis is applied by the WFP OSEP GIS. The layer is updated automatically. If there are no active storms, no data are displayed (pink tiles).

Active Tropical Storm Tracks (geonode:wld_nhr_adamtstrackscurrent_wfp)

This layer depicts active tropical storms. The track shows the estimated direction of the tropical storm's track. The data come from GDACS (European Commission Joint Research Center) and further analysis is applied by the WFP OSEP GIS. The layer is updated automatically. If there are no active storms, no data are displayed (pink tiles).

Global Earthquakes Epicenters - Last 14 Days (geonode:wld_nhrpub_adameqepic14days_wfp)

This layer contains earthquake epicenters of the last 14 days. The layer its produced through ADAM and gets updated every five minutes. Among other, it contains information related to the magnitude of the earthquake, the depth of the epicenter, the place, the nearest WFP facility and an estimate of the population affected in 15, 30 and 50 km radius.

World - Country Labels (geonode:wld_poi_admin0_unmap_2019)

Worldwide Country names to be used with the Wrold International Boundaries layer (https://geonode.wfp.org/layers/geonode%3Awld_bnd_admin0_l_unmap_2019#more)

Global WFP Facilities (geonode:wld_poi_facilities_wfp)

This layer contains the WFP Facilities such as Country Offices, Sub-Offices, Field Offices, Area Offices, Humanitarian Response Depots etc. Along with the location of the Facilities other information are provided such as WFP Region, status (open/closed), location precision etc. Any attributes which are blank or '0' had no data entered at the time of release. Its possible to contribute by giving your inputs at hq.gis@wfp.org.

Global WFP Refugee and IDP Camps (geonode:wld_poi_refugee_idp_camps_wfp)

DEPRECATED - THIS LAYER IS NOT UPDATED ANYMORE. This layer contains information regarding the location of the Refugees Camps and IDPs Camps currently open and involved in WFP Operations. Additional information such as the type of camp, the population of refugees in the camp, the existence of nearby warehouse etc. are included. Data Sources: mainly UNHCR and IOM The layer is updated as deemed necessary.

Global WFP Warehouses (geonode:wld_poi_warehouses_wfp)

This layer contains locations and additional information of WFP warehouses worldwide Any attributes which are blank or '0' had no data entered at the time of release. Its possible to contribute by giving your inputs at omep.gis@wfp.org.

Global Bridges (geonode:wld_trs_bridges_wfp)

This dataset contains location of bridges with information related to the current status of each bridge (Open, Closed, Damages, Restricted etc.). The bridges status are mainly reported by the Logistics Cluster IM officers, WFP staff or any other external sources (OSM data etc.) The layer contains a variety of information including the type of the bridge (Concrete, Steel, Wood etc.) and the precision of the registered location (Accurate, Approximate, Bad, Unknown). *IMPORTANT*: Note that the location precision and the date of the obstacles is described in the attribute table for each feature. Please use this information carefully and check that the information is up-to-date. Feel free to contribute to this dataset by contacting hq.gis@wfp.org.

Global Ports (geonode:wld_trs_ports_wfp)

This layer contains ports locations. This dataset brings together various public sources with WFP logistics information. It is updated regularly with inputs from WFP logistics but also from many partners through the Logistics Cluster and the Logistics Capacity Assessment (LCA: dlca.logcluster.org). The information is compiled at a global level by the Emergency and Preparedness Geospatial Information Unit at the World Food Programme (WFP) Headquarters in Rome, Italy. This dataset is at a global scale and is updated country by country. The last update date can be retrieved from the data of the country of interest. Feel free to contribute to this dataset by contacting hq.gis@wfp.org.

Global Stations (geonode:wld_trs_stations_wfp)

This layer contains information about train stations, bus stations and ferry terminals in some countries where WFP operates. The data are collected and reported either by the COs officers or other external sources (OSM data, Bing maps, Global Discovery etc.) Along with the location the dataset contains information related to the current status of each station/terminal (Open, Unknown), the size of the station etc. *IMPORTANT*: Note that the location precision and the date of the obstacles is described in the attribute table for each feature. Please use this information carefully and check that the information is up-to-date. Feel free to contribute to this dataset by contacting hq.gis@wfp.org.

Global UNHAS Routes (geonode:wld_trs_unhasroutes_wfp)

This dataset contains the current UNHAS (United Nations Humanitarian Air Service) routes for passenger and cargo air transport services provided by WFP. The routes displayed are only the current ones with status= 'Open'.

Global WFP Activities (ACR 2018) (geonode:wld_wfp_acrcountries_points_wfp_2018)

This layer is used to edit the data which are displayed in the interactive map of the ACR 2018 web platform.

Global WFP IPC Phases (geonode:wld_wfp_ipc_phases)

This layer depicts information for Integrated Food Security Phase Classification (IPC) worldwide. The classification has six levels from 0 to 5 (none, minimal, stressed, crisis, emergency, famine). The data are updated as deemed necessary.

Ethiopia woreda _2007 (geonode:woreda_ethiopia_2019_1)

This shapefile is developed for census.

Global Layer with Activity Types (geonode:world_global_layer_with_activity_types)

No abstract provided

Spatial Data Infrastructure - Roll out status (SDI) (geonode:world_spatial_data_infrastructure_ii)

No abstract provided

Yemen Governorates (geonode:yem_adm1_polygon)

Source: Geoenabler

Yemen Districts (geonode:yem_adm2_polygon)

Source: Geoenabler

Yemen Population Estimates 2019 (geonode:yem_pop_popest2019_hnohrp_1)

A Population technical workgroup was formed in Sana’a (IOM, UNFPA, OCHA, NAMCHA and CSO ) and another one in Aden (IOM, OCHA, CSO, MOPIC including Executive Unit). IDP data flow figures (from district to district) were collected, cross checked between different sources (IOM DTM, NAMCHA, Executive unit) in cases multiple datasets for the same location were available. This resulted in a country-wide IDP movement database. The TWGs agreed to use this database to calculate the estimated population using the following formula : Estimated Population = CSO projected population( 2019) – IDPS who left the district + idps who came to the district All members in both workgroups agreed on the final results on 3 Dec 2018. The attached dataset represents the results of the work of both groups and will be used for 2019 HNO and HRP.

ICA Zimbabwe, 2015 - ICA Categories & Areas (geonode:zwe_ica_categories_areas_geonode_20150330)

This layer contains information about the final classification resulting from the Integrated Context Analysis (ICA) run in Zimbabwe in 2015, showing areas of convergence between high recurrence of food insecurity and propensity to natural shocks.

ICA Zimbabwe, 2015 - Drought Risk, 1998-2013 (geonode:zwe_nhr_droughtrisk_geonode_20150330)

This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. Data source: Water Requirement Satisfaction Index (WRSI) 2000-2013, Normalized Difference Vegetation Index (NDVI) 1998-2012. The key indicators used were the frequency of poor growing seasons and the recurrence of WRSI below the threshold, set to 59% (percentage of district area where poorer crop performance is a result of water stress conditions).

ICA Zimbabwe, 2015 - Natural Shocks Risk (geonode:zwe_nhr_naturalshocksrisk_geonode_20150330)

This layer contains information about the natural shocks (floods and droughts) risk estimated during the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. Data source: UNEP/UNISDR GAR 2013, WRSI 2000-2013, NDVI 1998-2012.

ICA Zimbabwe, 2015 - Human Settlements, 2007 (geonode:zwe_pop_gd2007_settlements_geonode_20150330)

This layer contains information about the most relevant human settlements considered during the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. Data source: Global Discovery, 2007.

ICA Zimbabwe, 2015 - Food Insecure Population for Long-Term Planning, 2009-2013 (geonode:zwe_wfp_estimatedfipeople_geonode_20150330)

This layer contains information about the estimated figures and percentages - by district population - of food insecure population resulting from the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. Data source: ZIMVAC, 2009-2013. The key indicators used for the analysis were figures and percentages of food insecure population, used for long-term planning