Nigeria 100m Population
Nigeria 100m Population
DATASET: Alpha version 2010, 2015 and 2020 estimates of numbers of people per pixel ('ppp') and people per hectare ('pph'), with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.
REGION: Africa
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)
PROJECTION: Geographic, WGS84
UNITS: Estimated persons per grid square
MAPPING APPROACH: Random Forest
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)
FILENAMES: Example - NGA_ppp_v2b_2010_UNadj.tif = Nigeria (NGA) population per pixel (ppp), mapped using WorldPOP modelling version 2b (v2b) for 2010 (2010) adjusted to match UN national estimates (UNadj).
DATE OF PRODUCTION: February 2017
Also included: (i) Metadata html file, (ii) Google Earth file, (iii) Population datasets produced using original census year data (2006).
Sub-national, GIS, Disease burden, Population distribution, Dasymetric disaggregation
University of Southampton
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
Abstract
DATASET: Alpha version 2010, 2015 and 2020 estimates of numbers of people per pixel ('ppp') and people per hectare ('pph'), with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.
REGION: Africa
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)
PROJECTION: Geographic, WGS84
UNITS: Estimated persons per grid square
MAPPING APPROACH: Random Forest
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)
FILENAMES: Example - NGA_ppp_v2b_2010_UNadj.tif = Nigeria (NGA) population per pixel (ppp), mapped using WorldPOP modelling version 2b (v2b) for 2010 (2010) adjusted to match UN national estimates (UNadj).
DATE OF PRODUCTION: February 2017
Also included: (i) Metadata html file, (ii) Google Earth file, (iii) Population datasets produced using original census year data (2006).
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More information
Published date: 2013
Keywords:
Sub-national, GIS, Disease burden, Population distribution, Dasymetric disaggregation
Identifiers
Local EPrints ID: 440056
URI: http://eprints.soton.ac.uk/id/eprint/440056
PURE UUID: 5a1f8a22-20ae-4882-80da-d883621b694b
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Date deposited: 05 May 2020 16:36
Last modified: 05 May 2023 15:51
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Creator:
WorldPop
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