Kenya GIS data
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Social distancing is a public health measure intended to reduce infectious disease transmission, by maintaining physical distance between individuals or households. In the context of the COVID-19 pandemic, populations in many countries around the world have been advised to maintain social distance (also referred to as physical distance), with distances of 6 feet or 2 metres commonly advised. Feasibility of social distancing is dependent on the availability of space and the number of people, which varies geographically. In locations where social distancing is difficult, a focus on alternative measures to reduce disease transmission may be needed. To help identify locations where social distancing is difficult, we have developed an ease of social distancing index. By index, we mean a composite measure, intended to highlight variations in ease of social distancing in urban settings, calculated based on the space available around buildings and estimated population density. Index values were calculated for small spatial units (vector polygons), typically bounded by roads, rivers or other features. This dataset provides index values for small spatial units within urban areas in Kenya. Measures of population density were calculated from high-resolution gridded population datasets from WorldPop, and the space available around buildings was calculated using building footprint polygons derived from satellite imagery (Ecopia.AI and Maxar Technologies. 2020). These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Department for International Development. Project partners included the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation.
A feature service of Kenya Constituencies around 1999. Obtained form Stanford University website. This data was used in Map 2.10 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being from the Stanford University Library. Data created by Central Bureau of Statistics and Kenya, Ministry of Planning and National Development.
This product has been developed using the (Revised Universal Soil Loss Equation) RUSLE. Among the key parameters used include: soil erosivity, slope, rainfall intensity, population and land cover. Online distribution information:File Data Format: Zipped GeoTIFFOnline location: Click to Download
This product has been developed using the (Revised Universal Soil Loss Equation) RUSLE. Among the key parameters used include: soil erosivity, slope, rainfall intensity, population and land cover. Online distribution information:File Data Format: Zipped GeoTIFF Online location: Click to Download
This product has been developed using the (Revised Universal Soil Loss Equation) RUSLE. Among the key parameters used include: soil erosivity, slope, rainfall intensity, population and land cover. Online distribution information:File Data Format: Zipped GeoTIFFOnline location: Click to Download
This product has been developed using the (Revised Universal Soil Loss Equation) RUSLE. Among the key parameters used include: soil erosivity, slope, rainfall intensity, population and land cover. Online distribution information:File Data Format: Zipped GeoTIFFOnline location: Click to Download
The dataset contains Distribution Transformers in Kenya. Retrieved from: https://energydata.info/dataset/kenya-distribution-transformers
This layer contains land use polygon data for Nairobi, Kenya. Data retrieved from: https://datacatalog.worldbank.org/search/dataset/0041743
Data for power plants with total installed generating capacity > 10 mw from the Platts World Electric Power Plants Database (WEPP 2006). Plants were georeferenced using location information from the WEPP, auxiliary GIS datasets, World Bank project documents and the internet. Locations are approximate, precision varies greatly by point, based on the source of coordinate information. The following attributes are included: PLANT: power plant name, STATUS: status (OPR, CON, PLN, OTHER, UNK), SUM_MW: total installed generating capacity, LATITUDE: approximate location, latitude, LONGITUDE: approximate location, longitude, GEN_TYPE: type of electricity generation (HYDRO, THERMAL, OTHER). Retrieved from: https://energydata.info/dataset/kenya-power-plants
Revised Kenya Agro Ecological Zones
This layer contains landuse polygon data for Nairobi, Kenya. Data retrieved from: https://datacatalog.worldbank.org/search/dataset/0041743
This layer contains landuse polygon data for Nairobi, Kenya. Data retrieved from: https://datacatalog.worldbank.org/search/dataset/0041743
This layer contains land use polygon data for Nairobi, Kenya. Data retrieved from: https://datacatalog.worldbank.org/search/dataset/0041743
The two layers contained within the GRID3 KEN - Settlement Extents v3.0 include: GRID3_KEN_settlement_extents_v3.gpkg: a spatial layer representing settlement polygons. GRID3_KEN_settlement_grid_v3.gpkg: a spatial layer representing the centroids of settled grid cells. The current version supersedes GRID3 KEN - Settlement Extents v2.0; the following changes were made: Development of a new methodology to derive building counts and settlement polygons with open data. Estimation of a probability value for settlement polygons Addition of a building-area measure Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets Elimination of building-count ranges Elimination of variable comparing to previous versions For more information on data inputs, methodology, and codebooks please see the Data Release Notes. Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 KEN - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/6hnz-fr54. Accessed [DAY MONTH YEAR]. Terms of use: Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use. Copyright 2024. The Trustees of Columbia University in the City of New York. Data license: The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode). Contacts and data queries: The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 KEN - Settlement Extents v3.0 include: GRID3_KEN_settlement_extents_v3.gpkg: a spatial layer representing settlement polygons. GRID3_KEN_settlement_grid_v3.gpkg: a spatial layer representing the centroids of settled grid cells. This is the settlement extents layer. The current version supersedes GRID3 KEN - Settlement Extents v2.0; the following changes were made: Development of a new methodology to derive settlement polygons with open data. Estimate a probability value for settlement polygons For more information on data inputs, methodology, and codebooks please see the Data Release Notes. Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 KEN - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/6hnz-fr54. Accessed [DAY MONTH YEAR]. Terms of use: Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use. Copyright 2024. The Trustees of Columbia University in the City of New York. Data license: The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode). Contacts and data queries: The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 KEN - Settlement Extents v3.0 include: GRID3_KEN_settlement_extents_v3.gpkg: a spatial layer representing settlement polygons. GRID3_KEN_settlement_grid_v3.gpkg: a spatial layer representing the centroids of settled grid cells. This is the settlement extents layer. The current version supersedes GRID3 KEN - Settlement Extents v2.0; the following changes were made: Development of a new methodology to derive settlement polygons with open data. Estimate a probability value for settlement polygons For more information on data inputs, methodology, and codebooks please see the Data Release Notes. Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 KEN - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/6hnz-fr54. Accessed [DAY MONTH YEAR]. Terms of use: Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use. Copyright 2024. The Trustees of Columbia University in the City of New York. Data license: The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode). Contacts and data queries: The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Kenya Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2012
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Kenya Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2014
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Kenya Near Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2014
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Kenya Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2019
Kenya Near Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2021
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Kenya Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2018
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Kenya Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2019
Kenya Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2020
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Kenya Near Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2011
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Kenya Near Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2015
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Kenya Near Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2019
Kenya Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2022
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Kenya Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2016
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Kenya Near Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2012
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Kenya Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2017
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Kenya Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2011