Development and Health Indicators |
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
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.