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Nigeria 1km Stunting

Nigeria 1km Stunting
Nigeria 1km Stunting
DATASET: version 1.0 estimates of the proportion of male and female children aged under 5, per grid square that were classified as stunted in 2013; the data series is comprised of four datasets, a) predicted proportion of (male/female) children classified as stunted (NGA_stunting_*.tif), and b) related uncertainty maps (NGA_stunting_*_interdecile.tif); note * = M or F (male/female) REGION: Africa SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 1km at the equator) PROJECTION: Geographic, WGS84 UNITS: Proportionate datasets: Proportion of male/female children aged under 5 classified as stunted (median value); uncertainty datasets: Interdecile range - the difference between the first and the ninth deciles. MAPPING APPROACH: Bayesian geostatistical modelling methods in combination with high resolution gridded spatial covariates applied to GPS-located household survey data on stunting, from the DHS program, circa 2013. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - NGA_stunting_F.tif = Nigeria (NGA) female (F) stunting estimates. DATE OF PRODUCTION: March 2017 CITATION: Bosco, C.; Alegana, V.; Bird, T.; Pezzulo, C.; Bengtsson, L.; Sorichetta, A.; Steele, J.; Hornby, G.; Ruktanonchai, C.; Ruktanonchai, N.; Wetter, E.; Tatem, A. J. (2017): Exploring the high-resolution mapping of gender disaggregated development indicators. Journal of the Royal Society Interface, 14(129). DOI: 10.1098/rsif.2016.0825.
Children health, Geo-statistics, GIS, Development indicator
University of Southampton
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8

WorldPop, (2017) Nigeria 1km Stunting. University of Southampton doi:10.5258/SOTON/WP00201 [Dataset]

Record type: Dataset

Abstract

DATASET: version 1.0 estimates of the proportion of male and female children aged under 5, per grid square that were classified as stunted in 2013; the data series is comprised of four datasets, a) predicted proportion of (male/female) children classified as stunted (NGA_stunting_*.tif), and b) related uncertainty maps (NGA_stunting_*_interdecile.tif); note * = M or F (male/female) REGION: Africa SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 1km at the equator) PROJECTION: Geographic, WGS84 UNITS: Proportionate datasets: Proportion of male/female children aged under 5 classified as stunted (median value); uncertainty datasets: Interdecile range - the difference between the first and the ninth deciles. MAPPING APPROACH: Bayesian geostatistical modelling methods in combination with high resolution gridded spatial covariates applied to GPS-located household survey data on stunting, from the DHS program, circa 2013. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - NGA_stunting_F.tif = Nigeria (NGA) female (F) stunting estimates. DATE OF PRODUCTION: March 2017 CITATION: Bosco, C.; Alegana, V.; Bird, T.; Pezzulo, C.; Bengtsson, L.; Sorichetta, A.; Steele, J.; Hornby, G.; Ruktanonchai, C.; Ruktanonchai, N.; Wetter, E.; Tatem, A. J. (2017): Exploring the high-resolution mapping of gender disaggregated development indicators. Journal of the Royal Society Interface, 14(129). DOI: 10.1098/rsif.2016.0825.

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More information

Published date: 2017
Keywords: Children health, Geo-statistics, GIS, Development indicator

Identifiers

Local EPrints ID: 440145
URI: http://eprints.soton.ac.uk/id/eprint/440145
PURE UUID: 2271e93e-b9a8-4f87-a6c8-68fbaef487aa

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Date deposited: 05 May 2020 16:37
Last modified: 05 May 2023 15:52

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Creator: WorldPop

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