My GeoServer WFS

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)

ICA Mali, 2014 - Drought Risk, 2008-2013 (geonode:mli_ica_adm2_droughtrisk_geonode_jun2014)

This layer contains information about the drought risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Mali in 2014. Data source: HQ VAM Analysis of NDVI data, 2008-2013. The main indicators used for the analysis were the maximum number of poor growing seasons observed in the time window of interest and the vegetation growth rate compared to the long-term average. 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 2014. Source des données: HQ VAM Analyse des données NDVI, 2008-2013. Les indicateurs principaux utilisé pour l'analyse étaient le nombre maximale de saisons qui ont connu un déficit hydrique (mauvaises saisons de croissance) et le niveau de croissance de la végétation par rapport à la moyenne à long terme

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 Armenia, 2016 & 2017 - Mudflow Risk, 2012 (geonode:arm_ica_mudflowrisk_geonode_20171002)

This layer contains information about the mudflow risk 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: Armenia Hydrometeorological Monitoring Service, 2012. The key indicators used for the analysis are the percentage of mudflow affected area and the overall level of mudflow risk

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 Burkina Faso, 2018 - Land Degradation, 2001-2012 (geonode:bfa_ica_landdegradation_geonode_20180712)

This layer contains information about the land degradation phenomenon - by first-level administrative area - observed 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 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 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: 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.

Location of partners as of Feb. 5, 2019 (geonode:partners)

This layer contains an abstract of the partners that have been identified for the LEO.

ICA Tajikistan, 2015 - Natural Shocks Risk, 1998-2011 (geonode:tjk_nhr_naturalshocksrisk_geonode_20150215)

This layer contains information about the natural shocks risk (floods, mudflows and droughts) 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.

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.

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.

RBP WFP ACR Countries 2019 (geonode:rbp_wfp_acrcountries_2019_1)

No abstract provided

trayectoria_iota (geonode:trayectoria_iota)

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.

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

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

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 Ecuador, 2018 - Landslide Hazard, 2011 (geonode:ecu_ica_landsliderisk_geonode_jul2018)

This layer contains information about the landslide hazard - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Ecuador in 2018. Data source: Secretaría Nacional de Gestión de Riesgos y SUN MOUNTAIN, 2011. The methodology used to estimate the landslide hazard included parameters such as the terrain slope, the land cover and final use, the soil texture and depth and the maximum expected rainfall on a daily and yearly basis. The classifications of these parameters 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 landslide hazard and the most recurrent landslide hazard class - according to SGR - by second-level administrative area.

ICA Afghanistan, 2016 - Landslide Risk, 2013 (geonode:afg_ica_landsliderisk_geonode_20160617)

This layer contains information about the landslide risk estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. 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 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.

RBJ WFP ACR Countries 2019 (geonode:rbj_wfp_acrcountries_2019_shp)

No abstract provided

ICA Sierra Leone, 2017 - Flood Risk, 2013 (geonode:sle_ica_floodhazard_geonode_20170517)

This layer contains information about the flood risk estimated during the Integrated Context Analysis (ICA) run in Sierra Leone in 2017. Data source: UNEP/UNISDR GAR 2013, EMDAT 1996-2015. The main indicators used for the analysis were the percentage of district surface at flood risk and the historical frequency of flood events.

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.

ICA Tajikistan, 2015 - Recurrence of Food insecurity, 2008-2012 (geonode:tjk_wfp_firecurrence_geonode_20150215)

This layer contains information about the food insecurity level estimated during the Integrated Context Analysis (ICA) run in Tajikistan in 2015. Data source: WFP FSMS surveys, 2008-2012. The data were originally collected by livelihood zone and afterwards proportionally re-attributed to the districts falling within or across the zones. The key indicators used for the analysis were the recurrence above the 20% threshold - the difference between the average food security value for the area and the national average - , the average against national average and the variability/stability.

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 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.

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 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.

Distribution Points Schools Tajikistan (geonode:tjk_distrpointsgbao)

No abstract provided

ICA Armenia, 2017 - Food Insecurity Recurrence & Variability, 2010-2015 (geonode:arm_ica_foodinsecurity_geonode_20171002)

This layer contains information about the food insecurity recurrence and variability estimated during the Integrated Context Analysis (ICA) run in Armenia in 2017. Data source: Integrated Living Condition Surveys (ILCS), 2010-2015. 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.

FFA Mozambique_Inhambane (geonode:mozambique_ffa_mozambique_gaza)

No abstract provided

Demography, Number of poor households (geonode:kgz_bnd_adm3_fsa_bazarkorgon_12)

No abstract provided

Demography, Population (geonode:kgz_bnd_adm3_fsa_bazarkorgon_10)

No abstract provided

ken_phy_livestock_crossborder_market (geonode:ken_phy_livestock_crossborder_market)

No abstract provided

ICA Mauritania, 2017 - Natural Shock Risk (geonode:mrt_ica_naturalshockrisk_geonode_20181022)

This layer contains information about the natural shock risk (floods and droughts) - by first-level administrative unit - estimated during the Integrated Context Analysis (ICA) performed in Mauritania 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) - 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, HQ VAM Analyse des données CHIRPS d’estimation des precipitations 1981-2015.

Availability, Net per capita vegetable production / Per capita normative consumption (geonode:kgz_bnd_adm3_fsa_bazarkorgon_16)

No abstract provided

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 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.

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.

Afghanistan: District Accessibility for WFP and Partners Staff as of 18 August 2019 (geonode:afg_wfp_access_201900818)

Accessibility information by WFP Operation/Security Units,18 August 2019.

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.

darfur_idps_refugees_2020_pc81 (geonode:darfur_idps_refugees_2020_pc81)

Modality (geonode:mozambique_modality)

No abstract provided

Red Sea State FFE (geonode:sdn_poi_rs_ffe_wfp)

Red Sea State FFE 2018

Entry Points Tajikistan (geonode:entry_points)

No abstract provided

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.

Global Earthquakes Buffers - Last 14 Days (geonode:wld_nhrpub_adameqbuf14days_wfp)

This layer contains the buffer zones of earthquakes of the last 14 days. The layer its produced through ADAM and gets updated every five minutes. There are three distinguished buffers zones of 15km, 30km and 50km. In combination with the "Global Earthquakes Epicenters - Last 14 Days" layer we can represent the affected population on its of this buffer zone.

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

Security issue by settlement

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 Armenia, 2017 - Natural Shocks Risk (geonode:arm_ica_naturalshocksrisk_geonode_20171002)

This layer contains information about the overall risk of natural shocks estimated during the Integrated Context Analysis (ICA) run in Armenia in 2017. Data source: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS RFE 1981-2015, Armenia HydroMeteorological Monitoring Service 2012.

Roadnetwork of Tajikistan CONOPS (geonode:tjk_trs_roadsconops_wfp)

Layer uploaded during SDI mission in Tajikistan for creation of interactive map.

Kyrgyzstan, School Meal Project, Targeted schools (1-6 Rounds) (geonode:kgz_smp_schools_16_1)

No abstract provided

Geoenabler Admin 1 (geonode:geoenabler_adm1)

As of October 2019

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 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 Senegal, 2017 - Prevalence of Global Acute Malnutrition, 2010-2015 (geonode:sen_ica_malnutrition_geonode_20170508)

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 Senegal in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS Unit and Programme division. Data sources: 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, Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2014-2015. The main indicator used for the analysis was the prevalence of Global Acute Malnutrition (GAM), classified according to the thresholds 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 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, Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2014-2015. 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.

ceta (geonode:ceta)

ICA Zimbabwe, 2015 - Prevalence of Stunting, 2010 (geonode:zwe_wfp_areas_stunting_geonode_20150330)

This layer contains information about the malnutrition levels observed during the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. Data source: National Nutrition Survey (NNS), 2010. The key indicator used for the analysis was the prevalence of stunting in children aged under 5 years. The prevalence of wasting was not used as a malnutrition indicator for the purposes of this analysis because it was found within acceptable limits (GAM < 2.4%) all over the country.

Yemen Districts centroids (geonode:yem_adm2_point)

Source: Geoenabler

darfur_idps_refugees_2020_t7xe (geonode:darfur_idps_refugees_2020_t7xe)

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 Syrian Arab Republic, 2020 - Most Dominant Land Cover Classes, 2018 (geonode:syr_ica_mostpredlcc_geonode_20200305)

This layer contains information about the two most dominant land cover classes - by second-level administrative unit - observed during the update of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic in 2020. Data source: NASA MODIS, 2018.

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 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.

FFA Mozambique_Nampula (geonode:mozambique_ffa_mozambique_nampula)

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)

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 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 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.

pak_edu_institute_fata (geonode:pak_edu_institute_fata)

No abstract provided

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.

Sudan Central Jabal Mara FFA (geonode:sdn_poi_cjm_ffa_wfp)

Central Darfur , Central Darfur Jabal Mara Food For Assets 2019

Perspectiva Climática Centroamérica - mjj2020 (geonode:mjj2020)

No abstract provided

ICA Syrian Arab Republic, 2020 - Drought Hazard, 1982-2019 (geonode:syr_ica_droughthazard_geonode_20200305)

This layer contains information about the drought hazard - by second-level administrative unit - estimated during the update of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic in 2020. Data source: HQ VAM Analysis of Chirps Rainfall Estimates (RFE), 1982-2017, SYR CO Analysis of MODIS NDVI, 2000-2019. The main indicator used for the analysis was the number of poor growing seasons, both according to rainfall estimates and NDVI, observed in the last 5 years (using as benchmark a long-term average) and the percentage of interannual rainfall variability observed between 1982-2016.

ICA Burundi, 2014 - Flood Risk, 2012-2015 (geonode:bdi_nhr_floodrisk_geonode_20150212)

This layer contains information about the flood risk - by livelihood zone - estimated during the Integrated Context Analysis (ICA) run in Burundi between 2014 and 2015. Data source: Strategie Nationale de Prévention des Risques et de Gestion des Catastrophes - Plan d'Action National, 2012-2015. The key indicator used for the analysis was a descriptive flood index, provided by the source with no information about the data and the methodology behind it. Cette couche contient informations regard le risque d'inondations - par zones de moyens d'existence - estimé pendant l'Analyse Integrée de Contexte (AIC) exécuté au Burundi entre 2014 et 2015. Sources des données: Strategie Nationale de Prévention des Risques et de Gestion des Catastrophes - Plan d'Action National, 2012-2015. L'indicateur principale utilisé pour l'analyse était un index des inondations, fourni par la source avec pas des informations regard les données utilisées ainsi que la méthodologie employée.

darfur_idps_refugees_2020_wgnu (geonode:darfur_idps_refugees_2020_wgnu)

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.

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 Syrian Arab Republic, 2020 - Estimates of Food Insecure People, 2015-2019 (geonode:syr_ica_estimatedfipeople_geonode_20200305)

This layer contains information about the numbers of food insecure people - by second-level administrative unit - estimated for the purposes of the update of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic in 2020. Data source: FSA-FSLA, 2015-2019. 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 (people with a CARI score between 2.25 and 2.49, marginally food insecure).

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 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).

Afghanistan Food Dispatch Locations (geonode:afg_wfp_loghubs)

WFP Logistics Network

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'.

ICA Tajikistan, 2015 - Rural Population, 2013 (geonode:tjk_pop_ruralpopulation_geonode_20150215)

This layer contains information about the rural population - by district level - living in Tajikistan and mapped for the purposes of the Integrated Context Analysis (ICA) run in 2015. Data source: WFP CO, 2013.

Zambezia Mozambique 2015 flooding (geonode:radarsat_2015_flood)

This layer was taken from UNOSAT and shows the flood extent in Zambezia Mozambique for the 2015 flooding event using Radarsat 2.

ICA Sudan, 2018 - Recurrence of Food Insecurity, 2010-2017 (geonode:sdn_ica_firecurrence_geonode_20180201)

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 Sudan in 2018. Data source: Integrated Phase Classification (IPC), 2010-2017. The main indicator used for the analysis was the recurrence of IPC Phases 3 or above out of the number of available rounds.

Central Jabal Mara TSFP (geonode:sdn_poi_cjm_tsfp_wfp)

Central Darfur ,Central Jabal Mara TSFP Nutrition 2019

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 Syrian Arab Republic, 2020 - Land Degradation, 2001-2016 (geonode:syr_ica_landdegradation_geonode_20200305)

This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the update of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic in 2020. Data sources: HQ EMEG 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. The analysis differs from the one produced for the first version of the ICA because the second-level administrative units changed.

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 Philippines, 2014 - Estimated Numbers of People living below the Poverty Line, 2012 (geonode:phl_ica_povertyaffectedpeople_geonode_mar2014)

This layer contains information about the estimated numbers of people living below the poverty line used for the purposes of the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data source: Philippines National Statistical Coordination Board (NSCB), 2012.

ICA Haiti, 2017 - Land Degradation, 2001-2012 (geonode:hti_phy_landdegradation_geonode_20170417)

This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) run in Haiti in 2017. Data source: NASA MODIS, 2001-2012. The key 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 déterminer le niveau de dégradation de terres observé pendant l'Analyse Integrée de Contexte (AIC) effectuée en Haiti en 2017. Source des données: NASA MODIS, 2001-2012. Les indicateurs principaux utilisés pour l'analyse étaient les changements moyens de couverture du sol observés entre 2001et 2012 et la pourcentage de surface ayant une propension à l'érosion significative.

United Nations Global International Boundary Dataset (geonode:global_adm0_un)

No abstract provided

ICA Senegal, 2017 - Flood Risk, 2013 (geonode:sen_ica_floodrisk_geonode_20170508)

This layer contains information about the flood risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Senegal 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 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 : UNEP/UNISDR GAR, 2013. Les indicateurs principaux utilisées pour l’analyse étaient la pourcentage de surface à risque d’inondation et l’attente maximale attendue des inondations.

Sudan_Flood_2020 (geonode:sudan_flood_2020)

The data displays the flood detected areas using high resolution images, developed by RBC GIS Team, in order to estimate the number of affected population and crop lands as well within the floods area for further response and relief planing activities.

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.

Afghanistan Zones covered by WFP Office (geonode:afg_wfp_officescoverage)

No abstract provided

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 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.

gh_riverbasins_jfv_16092020_b6nb (geonode:gh_riverbasins_jfv_16092020_b6nb)

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.

ICA Malawi, 2014 - Natural Shocks Risk (geonode:mwi_nhr_naturalshocksrisk_geonode_20140612)

This layer contains information about the combined natural shocks risk (floods and droughts) estimated during the Integrated Context Analysis (ICA) run in Malawi in 2014. Data source: Department of Disaster Management Affairs (DoDMA) 2000-2013, VAM - MEPED, Ministry of Finance and Economic Planning and Development 2004-2013.

ICA Afghanistan, 2016 - Prevalence of Stunting, 2013 (geonode:afg_ica_nutrition_geonode_20160617)

This layer contains information about the malnutrition level estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: National Nutrition Survey (NNS), 2013. The key indicator used for the analysis was the prevalence of stunting, collected during the assessment by provincial (first-level administrative unit) level.

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

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 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 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).

FFA Mozambique_Tete (geonode:mozambique_ffa_mozambique_tete)

No abstract provided

Darfur IDPs Camps 2018 (geonode:sdn_poi_df_idps_2018_wfp)

Darfur IDPs Camps 2018

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 Lesotho, 2015 - Human Settlements, 2007 (geonode:lso_poi_settlements_gd_categories_geonode_20170731)

This layer contains information about the main human settlements, codified with the ICA Category of their relative province, used during the Integrated Context Analysis (ICA) run in Lesotho in 2015. Data source: Global Discovery, 2007.

Cambodia Admin Boundaries Level 1 (Provinces) (geonode:khm_adm1_un)

This layer contains information about administrative boundaries level 1 (Provinces) in Cambodia. Data Source: Department of Geography of the Ministry of Land Management, Urban Planning and Construction

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 Mali, 2017 - Prevalence of Global Acute Malnutrition, 2016 (geonode:mli_ica_malnutrition_geonode_20170606)

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 Mali in 2017. 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 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. 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.

Afghanistan Percentage of Food Insecure Population Based on Combined Food Consumption Score and Coping Strategy Index by Province - ALCS 2013/14 (geonode:afg_wfp_fi_prov_alcs_2014)

ALCS 2013/14 (CSO

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.

Madagascar Road Network (main roads) (geonode:mdg_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 (Madagascar Streets).

ICA Zimbabwe, 2015 - Predominant Livelihood Zones, 2012 (geonode:zwe_wfpco_livelihoodzones2012_geonode_20150330)

This layer contains information about the predominant livelihood zones identified during the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. Data source: Zimbabwe Country Office, 2012. The twenty-four main livelihood zones identified by the CO were reclassified into nine broad categories to make the visualization easier.

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)

Access: Recurrence of food insecurity, WFP HPSA 2014 (geonode:food_insecurity)

No abstract provided

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.

Global administrative boundaries level 1 (geonode:_2020_global_adm1)

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.

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.

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).

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.

ICA Mali, 2017 - Most Predominant Livelihood Zones, 2014 (geonode:mli_ica_predlhz_geonode_20170606)

This layer contains information about the most predominant livelihood zones - by second-level administrative area - identified during 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: Fewsnet, 2014 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 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: Fewsnet, 2014.

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.

ICA Sudan, 2018 - Natural Shock Risk (geonode:sdn_ica_naturalshockrisk_geonode_20180201)

This layer contains information about the natural shock risk (floods and droughts) estimated during the Integrated Context Analysis (ICA) performed in Sudan in 2018. Data sources: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE) 1982-2017.

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)).

ICA Tajikistan, 2015 - Flood Risk, 1998-2011 (geonode:tjk_nhr_floodfreq_geonode_20150215)

This layer contains information about the flood 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 flood disasters.

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 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 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.

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

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.

acled_incidents_syria (geonode:acled_incidents_syria)

Yemen locations (geonode:yem_locations)

No abstract provided

Cambodia WFP School Feeding Programme Locations (geonode:khm_wfp_beneficiarieslocation_wfp_2019)

This layer contains information about location of schools implementing school feeding in Cambodia. Data Source: WFP and Ministry of Education, Youth and Sport.

Availability: Domestic production of potatoes, National Statistics Committee 2014 (geonode:average_annual_potato_production_1)

No abstract provided

Mozambique, Survey data for Kenneth Cyclone (geonode:moz_poi_kennethsurvey_wfp)

This layer contains the data from this map: http://unwfp.maps.arcgis.com/apps/opsdashboard/index.html#/dbf6b43380a74107975bf06b51985348

ICA South Sudan, 2016 - ICA Categories & Areas (geonode:ssd_ica_categories_areas_geonode_feb2016)

This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA), run in South Sudan in 2016, showing areas of convergence between high recurrence of food insecurity and high propensity to natural shocks (floods and droughts).

Global Financial Services by Region (geonode:wld_bnd_admin1_gaul2015_finance_geonode)

Layer populated by Finance (Business Development Cash-Based Transfers (CBT) Branch). Data on beneficiaries (if available), Bank branches, ATM and Postal Branches by Region (administrative level one) - Reference Geometry: GAUL 2015

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 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.

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

No abstract provided

ICA Dominican Republic, 2017 - Cyclone Risk, 2013 (geonode:dom_nhr_cyclonerisk_geonode_20170412)

This layer contains information about the cyclone risk estimated during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: UNEP/UNISDR GAR 2013. The key indicator used for the analysis was the maximum expected frequency of cyclone events by municipality.

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.

ICA Lesotho, 2015 - Drought Risk, 1998-2013 (geonode:lso_nhr_droughtrisk_geonode_20150731)

This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) run in Lesotho in 2015. Data source: HQ VAM Analysis of NDVI data, 1998-2013. The key indicator used for the analysis was the average number of drought events.

Mozambique survey data (geonode:moz_poi_survey123_wfp)

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

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.

RBB WFP ACR Countries 2019 (geonode:rbb_wfp_acrcountries_2019)

No abstract provided

First Level Admin Capitals Polygon (geonode:col_first_level_capital_r)

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

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 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.

Afganistan Roads (geonode:afg_trs_roads_wfp)

This layers shows roads in Afghanistan

sen_ch_november_2017_phases (geonode:sen_ch_november_2017_phases)

No abstract provided

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.

FFA Mozambique_Inhambane (geonode:mozambique_ffa_mozambique_maputo)

No abstract provided

World Humanitarian Topographic Layer (geonode:view_wld_grid_100ka1_wfp)

No abstract provided

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.

ICA Haiti, 2017 - Drought Risk, 1998-2010 (geonode:hti_nhr_admin1_droughtrisk_geonode_20170417)

This layer contains information about the drought 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 indicator used for the analysis was the number of documented drought events recorded during the 20th century. Cette couche contient informations regard le risque de 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)". L'indicateur principal utilisé pour l'analyse était le nombre de tempêtes/cyclones lequels ont eu lieu en le vingtième siècle.

ICA Mali, 2014 - Food Insecurity and Malnutrition Trend, 2005-2013 (geonode:mli_ica_adm2_firecurrence_geonode_jun2014)

This layer contains information about the food insecurity and malnutrition trend observed during the Integrated Context Analysis (ICA) run in Mali in 2014. Data sources: Comprehensive Food Security Vulnerability Analysis (CFSVA) 2005-2009, EBSAN 2007-2008, Emergency Food Security Assessment (EFSA) 2011-2013, Fewsnet, Demographic and Health Survey (DHS) 2006-2012/13, Standardized Monitoring and Assessment of Relief and Transition (SMART) 2011-2013, MIC 2010. The main indicators used for the analysis were, among others, the Fewsnet food security classification, the number of food security rounds where more than 30% of the households were found in conditions of food insecurity and the prevalence of Global Acute Malnutrition above 10%. Cette couche contient les données d’une analyse de tendance de la sécurité alimentaire et malnutrition – par unité administrative de deuxième niveau – employée pendant l’Analyse Integrée du Contexte (AIC) executée en Mali en 2014. Sources des données: Comprehensive Food Security Vulnerability Analysis (CFSVA) 2005-2009, EBSAN 2007-2008, Emergency Food Security Assessment (EFSA) 2011-2013, Fewsnet, Demographic and Health Survey (DHS) 2006-2012/13, Standardized Monitoring and Assessment of Relief and Transition (SMART) 2011-2013, MIC 2010. Les indicateurs principaux utilisés pour l’analyse étaient, parmi d'autres, la classification Fewsnet d'insécurité alimentaire, le nombre de sondages avec au-dessus de 30% des ménages en conditions d'insécurité alimentaire et la prévalence de Malnutrition Aïgue Globale (MAG).

sdn_poi_wcd_tsfp_wfp (geonode:sdn_poi_wcd_tsfp_wfp)

No abstract provided

GLOFAS_Reporting_points (geonode:GLOFAS_Reporting_points)

Global Country Strategic Plan by Admin 0 (geonode:csp_iso2_type)

CSP Data . Administrative Boundaries Source: Geoenabler

FFA Mozambique_Sofala (geonode:mozambique_ffa_mozambique_sofala)

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

Availability, Domestic production of barley (geonode:kgz_bnd_adm3_fsa_bazarkorgon_7)

No abstract provided

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 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.

ICA Eswatini, 2019 - ICA Categories & Areas (geonode:swz_ica_adm2_categories_areas_20190930)

This layer contains information about the final classification deriving from the Integrated Context Analysis (ICA) run in Eswatini in 2019, showing the areas of convergence between recurrence of food insecurity and propensity to natural shocks (floods and droughts).

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.

Kyrgyzstan Landslide Risk (geonode:landslide)

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.

ICA Dominican Republic, 2017 - Natural Shocks Risk (geonode:dom_nhr_naturalshocksrisk_geonode_20170412)

This layer contains information about the combined natural shocks risk (floods, landslides, cyclones and droughts) estimated during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: UNEP/UNISDR GAR 2011 & 2013, NASA MODIS 2000-2015.

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.

Global Administrative Boundaries - Provinces, Gaul 2015 (geonode:admin_2_gaul_2015_old)

Provinces of countries 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.

ssd_pop_foodinsecurity_fsms (geonode:ssd_pop_foodinsecurity_fsms)

No abstract provided

lugares_poblados_final_spati (geonode:lugares_poblados_final_spati)

No abstract provided

ICA Dominican Republic, 2017 - Land Degradation, 2001-2012 (geonode:dom_phy_landdegradation_geonode_20170420)

This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: NASA MODIS, 2001-2012. The key indicators used for the analysis were the average ecological changes observed between 2001 and 2012 and the percentage of erosion-prone surface.

administrative boundaries Venezuela - District (adm.3) (geonode:ven_admbnda_adm3_20180502)

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

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.

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

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.

DRC Admin Boundaries Level 2 (geonode:cod_adm2_un)

This layer includes Administrative Boundaries Level 2 as per the standard structure of the GeoEnabler project.

wld_eq_historical (prism:wld_eq_historical)

World Location Data (geonode:wld_loc)

World Location Data 8th November 2019

Global Obstacles (geonode:wld_trs_obstacles_wfp)

This dataset contains points of physical obstacles limiting the physical access of roads, railways or waterways. The locations contained are mainly reported by the Logistics Cluster IM officers, WFP staff or any other external sources. *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.

ICA Syrian Arab Republic, 2020 - Conflict Intensity, Nov 2019-Feb 2020 (geonode:syr_ica_conflict_geonode_20200305_1)

This layer contains information about the conflict intensity observed during the update of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic in 2020. Data source: ACLED, 2019-2020. The key indicators used for the analysis were the number of security incidents - with related fatalities - recorded by Acled in the period between November 2019 and February 2020, and the number of security incidents - with related fatalities - involving IEDs.

Nigeria streets and pathways (geonode:nga_trs_streets_osm)

This dataset is an extraction of streets and pathways from OpenStreetMap data made by WFP that follows 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 (Nigeria Road Network (main roads)).

vientos_eta (geonode:vientos_eta)

moz_sec_conflicts_2016 (geonode:moz_sec_conflicts_2016)

No abstract provided

ICA Tanzania, 2015 - ICA-Coded Human Settlements (geonode:tza_pop_icacodedsettlements_geonode_20150824)

This layer contains information about the main human settlements , codified by the ICA Categories of the relative region, used in the Integrated Context Analysis (ICA) run in Tanzania in 2015.

ICA Chad, 2017 - Most Predominant Livelihood Zones, 2011 (geonode:tcd_ica_predlhz_geonode_mar2017)

This layer contains information about the most predominant livelihood zones - by second-level administrative area - identified during 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: 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 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: Fewsnet, 2011.

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

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.

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 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 Honduras, 2017 - Most Predominant Livelihood Zones, 2015 (geonode:hnd_ica_predlhz_geonode_may2017)

This layer contains information about the most predominant livelihood zones - by second-level administrative area - identified during the Integrated Context Analysis (ICA) run in Honduras in 2017. Data source: Fewsnet, 2011.

Less roll out status - Missions (geonode:wld_wfp_lessrollout_1_1)

This layer depicts the status of LESS roll out project around the world including actual and planned missions.

ICA Democratic Republic of Congo, 2017 - Most Predominant Livelihood Zones, 2016 (geonode:cod_ica_regional_predlhz_geonode_20170516)

This layer contains information about the most predominant livelihood zone - by second-level administrative area - identified 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: Fewsnet, 2016. Cette couche contient informations regard le zones de moyens d'existence plus prédominant - par unité administrative de deuxième niveau - identifiés 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 données: Fewsnet, 2016.

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.

Global Administrative Boundaries - Countries - MAR2020 (geonode:wld_bnd_adm0)

No abstract provided

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.

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

No abstract provided

ICA Syrian Arab Republic, 2020 - Flood hazard, 2013 (geonode:syr_ica_floodhazard_geonode_20200305)

This layer contains information about the flood hazard - by second-level administrative unit - estimated during the update of the Integrated Context Analysis (ICA) run in the Syrian Arab Republic in 2020. Data sources: UNEP/UNISDR GAR 2013. The main indicators used for the analysis were the percentage of department surface at flood hazard and the maximum expected frequency of flood events with a 100-year return period.

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.

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 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.

Ethiopia woreda _2007 (geonode:woreda_ethiopia_2019_1)

This shapefile is developed for census.

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.

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.

ICA Syrian Arab Republic, 2018 - ICA Categories & Areas (geonode:syr_ica_categories_areas_20181204)

This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) performed in the Syrian Arab Republic between 2018 and 2019, showing the areas of convergence of high levels of food insecurity recurrence and major propensity to natural shocks (floods and droughts).

RBN WFP ACR Countries 2019 (geonode:rbn_wfp_acrcountries_2019_1)

No abstract provided

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 Pakistan, 2017 - Recurrence of Vulnerability to Food Insecurity, 2004-2014 (geonode:pak_ica_firecurrence_geonode_apr2017)

This layer contains information about the risk of food insecurity according to the Integrated Context Analysis (ICA) performed in Pakistan in 2017. Given that no other food security outcome data was available at district level for the whole country, the analysis was carried out using poverty data as a proxy for vulnerability to food insecurity. Data source: UNDP, 2004/05 to 2005/06. The key indicator used for the analysis was the Multi-Dimensional Poverty Index (MPI), with the threshold set to 0.329 - average of all the district-level observations over 6 PSLM rounds. It should be noted that 33 districts in the country did not have MPI data available and are not covered by this specific analysis.

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

ICA Zimbabwe, 2015 - Tree Cover Loss, 2000-2012 (geonode:zwe_phy_areas_treecoverloss_geonode_20150330)

This layer contains information about the overall tree cover loss estimated during the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. In absence of land degradation data, a deforestation analysis was performed using remotely sensed data as a proxy. Data source: Hansen/UMD/Google/USGS/NASA, 2000-2012. The key indicators used for the analysis were the district surface affected by tree cover loss and the percentage value compared to the total district area.

WFP Colombia Offices (geonode:wfp_col_offices)

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

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 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.

td01_wfp_acrcountries_2019_shp_3 (geonode:td01_wfp_acrcountries_2019_shp_3)

No abstract provided

Afghanistan Settlements by Area of Control January 2016 (geonode:afg_poi_areasofinfluence_wfp_1)

Information by WFP Operation/Security Units,

gh_hsd_stations_availablets_links_jfv_12102020_v02_3749 (geonode:gh_hsd_stations_availablets_links_jfv_12102020_v02_3749)

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

No abstract provided

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.

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 Burundi, 2014 - Projected Population, 2013 (geonode:bdi_pop_projectedpopulation_geonode_20150212)

This layer contains information about the projected population for 2013 used in the Integrated Context Analysis (ICA) run in Burundi between 2014 and 2015. Data source: Burundi Census, 2008. Cette couche contient informations regard la population projetée en 2013 utilisée pendant l'Analyse Integrée du Contexte (AIC) executée au Burundi entre 2014 et 2015. Source des données: Burundi Census, 2008

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 Afghanistan, 2019 - Recurrence of Severe and Very Severe Food Insecurity, 2007-2018 (geonode:afg_ica_severefirec_geonode_20190516)

This layer contains information about the recurrence of severe and very severe 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 and considering an average national food insecurity close to 30%, the threshold was set to 10% to better identify the most vulnerable districts. The key indicator used for the analysis was the recurrence of severe and very severe food insecurity above the threshold.

Global WFP Guesthouses (geonode:wld_poi_guesthouses_wfp)

Location of guesthouses for WFP employees. Source: Accommodation team.

claudio (geonode:claudio)

Availability: Domestic production of wheat, National Statistics Committee 2014 (geonode:average_annual_wheat_production_1)

No abstract provided

ICA Jordan, 2019 - Recurrence of food insecurity, 2010-2014 (geonode:jor_ica_firecurrence_20190722)

This layer contains information about the recurrence of food insecurity conditions observed and used for the Integrated Context Analysis (ICA) run in Jordan in 2019. Data source: Department of Statistics (DoS), 2010-2014. The key indicator used for the analysis was the Food Consumption Score (FCS), which aggregates household-level data on the diversity and frequency of food groups consumed over the previous seven days, then weighted according to the relative nutritional value of the consumed food groups. Given the values of food insecurity across the country (with a national, multi-year average of 4.6%), a threshold equal to 5% has been chosen to allow a better separation of severely affected areas from better-off geographical areas.

ICA Jordan, 2019 - Land Degradation, 2001-2016 (geonode:jor_ica_landdegradation_20190722)

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 Jordan 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 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.

wld_ibtracs (prism:wld_ibtracs)

ICA South Sudan, 2016 - Recurrence of Food Insecurity, 2010-2015 (geonode:ssd_ica_firecurrence_geonode_feb2016)

This layer contains information about the food insecurity levels estimated during the Integrated Context Analysis (ICA) run in South Sudan in 2016. Data source: Food Security Monitoring System (FSMS), 2010-2015. The food security threshold to determine the recurrence of food insecurity was set at 30% as only the best quantile had a value below 20% (which is the traditional mapping protocol) and that the value used was the sum of two categories (moderate and severe food insecurity). The key indicators used for the analysis were the recurrence above the threshold, the average against national average and variability/stability.

gh_hsd_stations_quality_flagged_jfv_12102020_v02 (geonode:gh_hsd_stations_quality_flagged_jfv_12102020_v02)

ICA South Sudan, 2016 - Land Degradation, 2010-2012 (geonode:ssd_ica_landdegradation_geonode_feb2016)

This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) performed in South Sudan in 2016. Data source: Regional Centre for Mapping of Resources for Development (RCMRD), 2010-2012. The main indicator used for the analysis was an average land degradation index, generated through a combination of factors such as land conformation, vegetation cover and quality, precipitation, soil type and erodibility, population density.

Nepal Road Network from OpenStreetMap (geonode:npl_trs_roads_osm)

Nepal Road Network updated daily from OpenStreetMap

Stability: Floods and mudflow risk, Ministry of Emergency Situations 2009 (geonode:recurrence_of_floods_and_mudflows_1)

No abstract provided

ICA Chad, 2017 - Prevalence of Global Acute Malnutrition, 2017 (geonode:tcd_ica_malnutrition_geonode_mar2017)

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 Chad in 2017. 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 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 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: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2016. L’indicateur principale utilisé pour l’analyse était la prévalence de Malnutrition Aigüe Globale (MAG), avec des seuils d’alerte fixés selon les normes et la gamme de valeurs classés de l’OMS 2006.

eswatini_ecology_zones (geonode:eswatini_ecology_zones)

ICA Burundi, 2014 - Land Degradation, 2011 (geonode:bdi_phy_landdegradation_geonode_20150212)

This layer contains information about the land degradation phenomenon - by livelihood zone - observed during the Integrated Context Analysis (ICA) run in Burundi between 2014 and 2015. Data source: ICPAC & Regional Centre for Mapping of Resources for Development (RCMRD), 2011. The key indicator used for the analysis was the percentage of surface affected by a high or very high level of degradation. Cette couche contient les données necessaires pour déterminer le niveau de dégradation de terres - par zones de moyens d'existence - observé pendant l'Analyse Integrée de Contexte (AIC) executée au Burundi entre 2014 et 2015. Source des données: ICPAC & RCMRD, 2011. L'indicateur principale utilisé pour l'analyse était la pourcentage de surface avec une dégradation elevée ou très elevée.

Global Border Crossing Points (geonode:wld_poi_bcp_wfp)

This layer contains data about Global Border Crossing Points used for humanitarian operations. It provides information related to the current status of the crossing point (open/closed/unknown), WFP usage of the point, related RB etc. The layer is updated as deemed necessary.

Yemen boundaries (adm0) (geonode:yem_adm0_polygon)

Source: Geoenabler

ICA Mozambique, 2017 - ICA Categories & Areas (geonode:moz_ica_areas_categories_geonode_20170723)

This layer contains information about the final classification resulting from the Integrated Context Analysis (ICA) run in Mozambique in 2017, showing areas of convergence between high recurrence of food insecurity and propensity to natural shocks. It should be noted that, although not being the official categorization included in the Technical Paper, the shapefile contains also the different ICA categorizations resulting from combining the natural shock hazard score with SETSAN and VAC classifications separately.

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

ICA Burundi, 2014 - Natural Shocks Risk (geonode:bdi_nhr_naturalshocksrisk_geonode_20150212)

This layer contains information about the combined natural shocks risk (flood, landslides and droughts) - 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, HQ VAM Analysis of NDVI data 1999-2013. Cette couche contient informations regard le risque des chocs naturals combinés (inondations, glissements de terrain et 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: Stratégie Nationale de Prévention des Risques et de Gestion des Catastrophes – Plan d’Action National 2012-2015, UNEP/UNISDR GAR 2009, HQ VAM Analyse de NDVI données.

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 Mauritania, 2017 - Drought Risk, 1981-2015 (geonode:mrt_ica_droughtrisk_geonode_20181022)

This layer contains information about the drought risk - by first-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Mauritania 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 NDVI data, 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 première niveau – estimée 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: HQ VAM Analyse des données NDVI, 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 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%.

Utilization: Level of male population educational attainment, National Demographic and Health Survey 2012 (geonode:proportion_male)

No abstract provided

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.

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.

npl_municipality_hq_wfp (geonode:npl_municipality_hq_wfp)

No abstract provided

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.

Afghanistan Provinces and Districts Centers (geonode:afg_poi_districtprovincecenters_wfp)

No abstract provided

gh_hsd_stations_unavailablets_jfv_22092020 (geonode:gh_hsd_stations_unavailablets_jfv_22092020)

ICA Afghanistan, 2016 - Drought Risk, 2011-2015 (geonode:afg_ica_droughtrisk_geonode_20160617)

This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE), 2011-2015. The key indicator used for the analysis was the overall number of poor growing seasons.

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 Burundi, 2014 - Prevalence of Stunting, 2014 (geonode:bdi_wfp_malnutrition_geonode_20150212)

This layer contains information about the malnutrition status observed during the Integrated Context Analysis (ICA) run in Burundi between 2014 and 2015. Data source: Multiple Indicator Cluster Survey (MICS), 2014. The key indicator used for the analysis was the prevalence of stunting in children below 5 years of age.

ICA Mozambique, 2017 - Drought Hazard, 1981-2015 (geonode:moz_nhr_droughthazard_geonode_20170623)

This layer contains information about the drought hazard estimated during the Integrated Context Analysis (ICA) run in Mozambique in 2017. Data source: HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE), 1981-2015, National Institute of Disaster Management (INGC). The indicators used for the analysis were the number of poor growing seasons and the drought hazard classification provided by INGC.

CETA_IDPs_Refugees_Camps and Settlements_2020 (geonode:ceta_idps_refugees_2020)

The CETA WFP Operational overview : Includes Kassala, Red Sea, Gadaref , Blue Nile and Korfodan Region ( South, West, North). The Data displays IDPs and Refugees camps and out of camps ( Settlements) in CETA Region

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.

Malawi, Flood Risk, June 2014 (geonode:mwi_ica_floodrisk_20170531)

This layer contains information about the flood risk in Malawi, as analysed by the ICA. The key indicator used for the analysis is the flood frequency between 2000 and 2013. Source: CO VAM Malawi - MEPED & DoDMA

ICA Somalia, 2018 - Drought Hazard, 1998-2017 (geonode:som_ica_droughthazard_geonode_dec2018)

This layer contains information about the drought hazard - by livelihood zone - estimated during the Integrated Context Analysis (ICA) run in Somalia in 2018. Data source: CHIRPS Rainfall Estimates 1998-2017, NDVI MODIS 1998-2017. The main indicators used for the analysis were the average number of meteorological - calculated from the Standardized Precipitation Index (SPI) - and agricultural - calculated relying on remotely sensed Normalized Difference Vegetation Index (NDVI) - droughts by livelihood zone. Average number of SPI drought seasons: [Low] ( 3.83). Average number of NDVI poor growing seasons: [Low] ( 2.2).

ICA Mauritania, 2017 - Land Degradation, 2001-2012 (geonode:mrt_ica_landdegradation_geonode_20181022)

This layer contains information about the land degradation phenomenon - by first-level administrative area - observed 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 sources: HQ OSEP GIS Analysis of NASA MODIS 2001-2013, WorldClim 1970-2000, FAO data and 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 première niveau – observé 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: HQ OSEP GIS Analyse des données NASA MODIS 2001-2013, 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.

Yemen Districts (geonode:yem_adm2_polygon)

Source: Geoenabler

Colombia First Level Admin Capitals (geonode:col_first_level_capital)

This layer provides geospatial information from Colombia first level admin capitals

ICA Countries Centroids (geonode:ica_countries_centroids_short)

Centroids of the ICA countries (latest update)

darfur_idps_refugees_2020_dozy (geonode:darfur_idps_refugees_2020_dozy)

ICA Haiti, 2017 - Landslide Risk, 1998-2010 (geonode:hti_nhr_landsliderisk_geonode_20170417)

This layer contains information about the landslide 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 slope deficit, instability, deformation, breaking and propagation potential and drainage systems. Cette couche contient informations regard le risque de glissements de terraine 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 le déficit de pente, instabilité, déformation, rupture et propagation et la méthode de filtrage.

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.

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 Democratic Republic of Congo, 2017 - Flood Hazard, 2013 (geonode:cod_ica_regional_floodhazard_geonode_20170516)

This layer contains information about the flood 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. The main indicators used for the analysis were the percentage of district surface at flood hazard, the maximum expected frequency of flood events and the number of flood events recorded by EMDAT between 1990 and 2017. Cette couche contient informations regard le risque d'inondations - par unité administrative de deuxième niveau - estimé 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. Sources des données: UNEP/UNISDR GAR 2013. Les indicateurs principales utilisés pour l'analyse étaient la pourcentage de surface à risque d'inondation et la combination de l'attente maximale attendue des inondations selon UNEP/UNISDR et l'attente des inondations enregistrées par EMDAT entre 1990 et 2016.

ICA Chad, 2017 - Flood Risk, 2013 (geonode:tcd_ica_floodrisk_geonode_mar2017)

This layer contains information about the flood risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Chad 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 deuxième niveau – 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. Les indicateurs principaux utilisées pour l’analyse étaient la pourcentage de surface a risque d’inondation et l’attente maximale attendue des inondations.

mgd_trs_roads_osm (geonode:mgd_trs_roads_osm)

gh_riverbasins_jfv_16092020 (geonode:gh_riverbasins_jfv_16092020)

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 Haiti, 2017 - Rapid On-Set Shocks Risk, 1998-2010 (geonode:hti_nhr_floodlandslidecyclonerisk_geonode_20170417)

This layer contains information about the rapid on-set shocks risk (floods, landslides and cyclones) 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 de chocs de déclenchement rapide (inondations, glissements de terrain et 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)".

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 Niger, 2018 - Recurrence of Food Insecurity, 2013-2017 (geonode:ner_ica_firecurrence_geonode_may2018)

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 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 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 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. L’indicateur principale utilisé pour l’analyse était le score de consommation alimentaire faible et limite, avec un seuil fixé à 20%.

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.

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 Lesotho, 2015 - ICA Categories & Areas (geonode:lso_ica_categories_areas_geonode_20150731)

This layer contains information about the final categorization deriving from the Integrated Context Analysis (ICA) run in Lesotho in 2015, showing areas of convergence between recurrence of food insecurity 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 Philippines, 2014 - Tree Cover Change, 2000-2010 (geonode:phl_ica_landcover_geonode_mar2014)

This layer contains information about the changes in tree cover density - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data source: Landsat Vegetation Continuous Fields (VCF), 2000-2010. It should be noted that, in absence of livelihood data, land cover was used as a proxy for rural livelihoods. The main indicator used for the analysis was the average provincial trend of tree cover change in the last ten years.

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

No abstract provided

ICA Burkina Faso, 2018 - Drought Risk, 1981-2015 (geonode:bfa_ica_droughtrisk_geonode_20180712)

This layer contains information about the drought risk - by first-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Burkina Faso in 2018. 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 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: 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).

Yemen, Physical Access Constraints, 27 October 2020 (geonode:yem_trs_ac_wfp_20201027)

No abstract provided.

DEV Project Locations (geonode:dev_loc_geonode)

No abstract provided

ICA Zimbabwe, 2015 - Flood Risk, 2013 (geonode:zwe_nhr_floodrisk_geonode_20150330)

This layer contains information about the flood risk estimated during the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. Data source: UNEP/UNISDR Global Assessment of Risk (GAR), 2013. The key indicator used was the percentage of flood affected areas.

Mozambique Drone Flight Plan (geonode:fdcp)

Mozambique Licungo Drone Project Field Data Collection Points

ICA Niger, 2018 - Land Degradation, 2001-2013 (geonode:ner_ica_landdegradation_geonode_may2018)

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 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 sources: HQ OSEP GIS Analysis of NASA MODIS 2001-2013, WorldClim 1970-2000, FAO data and 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 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: HQ OSEP GIS Analyse des données NASA MODIS 2001-2013, 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.

Somalia - Flood affected roads, 01 June 2020 (geonode:som_trs_accessconstraints_20200511)

No abstract provided

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 Mozambique, 2017 - Natural Shocks Hazard (geonode:moz_nhr_naturalshockhazard_geonode_20170623)

This layer contains information about the combined natural shock (floods, droughts and cyclones) hazard estimated during the Integrated Context Analysis (ICA) run in Mozambique in 2017. Data source: Fewsnet 1975-2012, DRFI 2012, INGC, HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE) 1981-2015, Fewsnet 1930-2000.

Access: Poverty incidence, National Statistics Committee 2013 (geonode:poverty_incidence_inc)

No abstract provided

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.

ICA Honduras, 2017 - Land Degradation, 2001-2012 (geonode:hnd_ica_landdegradation_geonode_may2017)

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 Honduras in 2017. Data sources: HQ OSEP GIS Analyse of NASA MODIS 2001-2012, 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 and 2012 and the percentage of erosion-prone surface.

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.

Agriculture land & Irrigation proportion - Tajikistan Vulnerability & Resilience Atlas, 2019 (geonode:tjk_agricland_irrigated)

This layer shows the size of agriculture land with proportions of which is under irrigation at district level (2015) in Tajikistan

tjk_stockpile_akah (geonode:tjk_stockpile_akah)

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.

Access: Proportion of the population consuming less than 2100 kcal per day (average of 2011-2013), National Statistics Committee 2013 (geonode:proppop_less2100kkal)

No abstract provided

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

Location of CMAM Surge sites in district Umerkot, Sindh

ICA Sierra Leone, 2017 - Landslide Risk, 2013 (geonode:sle_ica_landslidehazard_geonode_20170517)

This layer contains information about the landslide risk estimated during the Integrated Context Analysis (ICA) run in Sierra Leone in 2017. Data sources: UNEP/UNISDR GAR 2013. The main indicators used for the analysis were the maximum expected frequency of landslide events with a 100-year return period and the percentage of district surface at landslide risk.

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.

Global Boundaries for WFP Activities (ACR 2018) (geonode:wld_wfp_acrcountries_wfp_2018)

this layer is used to displayed the second level administrative boundaries displayed in the interactive map of the ACR 2018 web platform.