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grid3/population_counts_gridded (ImageServer)

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Service Description: These data were produced by the WorldPop Research Group at the University of Southampton. This work is part of the GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development) project funded by the Bill and Melinda Gates Foundation (BMGF) and the The Foreign, Commonwealth & Development Office (FCDO) (OPP1182408). Project partners include WorldPop at the University of Southampton, 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. Zambia: WorldPop. 2020. Bottom-up gridded population estimates for Zambia, version 1.0. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00662 Nigeria: WorldPop. 2019. Bottom-up gridded population estimates for Nigeria, version 1.2. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00655. South Sudan: WorldPop (School of Geography and Environmental Science, University of Southampton). 2020. South Sudan 2019 gridded population estimates from census projections adjusted for displacement, version 1.0. https://dx.doi.org/10.5258/SOTON/WP00659 Sierra Leone: WorldPop and Statistics Sierra Leone. 2020. Census disaggregated gridded population estimates for Sierra Leone (2015), version 1.0. University of Southampton. doi:10.5258/SOTON/WP00668 Democratic Republic of the Congo: Boo G, Darin E, Leasure DR, Dooley CA, Chamberlain HR, Lazar AN, Tatem AJ. 2020. Modelled gridded population estimates for the Kinshasa, Kongo-Central, Kwango, Kwilu, and Mai-Ndombe provinces in the Democratic Republic of the Congo 2018, version 2.0. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00669 Mozambique: Bondarenko M, Jones P, Leasure D, Lazar AN, Tatem AJ. 2020. Census disaggregated gridded population estimates for Mozambique (2017), version 1.1. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00672 Burkina Faso: WorldPop and Institut National de la Statistique et de la Demographie du Burkina Faso. 2020. Census-based gridded population estimates for Burkina Faso (2019), version 1.0. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00687

Name: grid3/population_counts_gridded

Description: These data were produced by the WorldPop Research Group at the University of Southampton. This work is part of the GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development) project funded by the Bill and Melinda Gates Foundation (BMGF) and the The Foreign, Commonwealth & Development Office (FCDO) (OPP1182408). Project partners include WorldPop at the University of Southampton, 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. Zambia: WorldPop. 2020. Bottom-up gridded population estimates for Zambia, version 1.0. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00662 Nigeria: WorldPop. 2019. Bottom-up gridded population estimates for Nigeria, version 1.2. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00655. South Sudan: WorldPop (School of Geography and Environmental Science, University of Southampton). 2020. South Sudan 2019 gridded population estimates from census projections adjusted for displacement, version 1.0. https://dx.doi.org/10.5258/SOTON/WP00659 Sierra Leone: WorldPop and Statistics Sierra Leone. 2020. Census disaggregated gridded population estimates for Sierra Leone (2015), version 1.0. University of Southampton. doi:10.5258/SOTON/WP00668 Democratic Republic of the Congo: Boo G, Darin E, Leasure DR, Dooley CA, Chamberlain HR, Lazar AN, Tatem AJ. 2020. Modelled gridded population estimates for the Kinshasa, Kongo-Central, Kwango, Kwilu, and Mai-Ndombe provinces in the Democratic Republic of the Congo 2018, version 2.0. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00669 Mozambique: Bondarenko M, Jones P, Leasure D, Lazar AN, Tatem AJ. 2020. Census disaggregated gridded population estimates for Mozambique (2017), version 1.1. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00672 Burkina Faso: WorldPop and Institut National de la Statistique et de la Demographie du Burkina Faso. 2020. Census-based gridded population estimates for Burkina Faso (2019), version 1.0. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00687

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 8.333333299506313E-4

Pixel Size Y: 8.333333299506312E-4

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"name":"PopulationClassification","description":"A raster function template.","help":""}, {"name":"None","description":"A No-Op Function.","help":""}, {"name":"PopulationStretched","description":"A raster function template.","help":""}

Mensuration Capabilities: None

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: WorldPop Open Population Repository. GRID3: Geo-Referenced Infrastructure and Demographic Data for Development

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0

Max Values: 3422.621826171875

Mean Values: 18.53803513001956

Standard Deviation Values: 33.39918984365387

Object ID Field: OBJECTID

Fields: Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Nearest

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 20

Max Mosaic Image Count: 20

Allow Raster Function: true

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Histograms   Key Properties   Legend   MultiDimensionalInfo   rasterFunctionInfos

Supported Operations:   Export Image   Query   Identify   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics