ICA Mauritania - Natural Shock Risk

  • This dataset updates: As needed

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ICA Mauritania - Natur...
This layer contains information about the natural shock risk (floods and droughts) - by first-level administrative unit - estimated...

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  • ICA Mauritania - Natural Shock Risk shapefilezipped shapefile
    Updated: January 27, 2020

    Zipped Shapefile. 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.

  • ICA Mauritania - Natural Shock Risk geojsonGeoJSON
    Updated: January 27, 2020

    GeoJSON file. 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.

Source WFP - World Food Programme
Contributor
Date of Dataset Jan 01, 2017 - Dec 31, 2017
Updated January 27, 2020
Expected Update Frequency As needed
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Methodology Direct Observational Data/Anecdotal Data
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