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Ukraine 100m Population

Ukraine 100m Population
Ukraine 100m Population
DATASET: Alpha version 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: Eurasia SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS 84 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 - UKR_ppp_v2b_2020_UNadj.tif = Ukraine (UKR) population per pixel (ppp) modelling version '2b' (v2b) map for 2020 (2020) adjusted to match UN national estimates (UNadj). DATE OF PRODUCTION: March 2014 Also included: (i) Metadata html file, (ii) Population datasets produced using original census year data (2012).
Sub-national, GIS, Disease burden, Population distribution, Dasymetric disaggregation
University of Southampton
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8

WorldPop, (2013) Ukraine 100m Population. University of Southampton doi:10.5258/SOTON/WP00286 [Dataset]

Record type: Dataset

Abstract

DATASET: Alpha version 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: Eurasia SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS 84 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 - UKR_ppp_v2b_2020_UNadj.tif = Ukraine (UKR) population per pixel (ppp) modelling version '2b' (v2b) map for 2020 (2020) adjusted to match UN national estimates (UNadj). DATE OF PRODUCTION: March 2014 Also included: (i) Metadata html file, (ii) Population datasets produced using original census year data (2012).

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More information

Published date: 2013
Keywords: Sub-national, GIS, Disease burden, Population distribution, Dasymetric disaggregation

Identifiers

Local EPrints ID: 440016
URI: http://eprints.soton.ac.uk/id/eprint/440016
PURE UUID: 5e58a4c9-6533-4fe7-a24a-66cf42929eed

Catalogue record

Date deposited: 05 May 2020 16:36
Last modified: 05 May 2023 15:51

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Creator: WorldPop

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