DATASET: version 1.0 estimates of the proportion of men and women aged 15-49 per grid square that were classed as literate in 2013; the data series is comprised of four datasets, a) predicted proportion of (male/female) literacy (NGA_literacy_*.tif), and b) related uncertainty maps (NGA_literacy_*_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 men/women aged 15-49 classed at literate (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 literacy, from the DHS program, circa 2013.
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)
FILENAMES: Example - NGA_literacy_F.tif = Nigeria (NGA) female (F) literacy values.
DATE OF PRODUCTION: March 2017
Region : Nigeria
DOI : 10.5258/SOTON/WP00199
Date of production : 2017-03-01
Recommended 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.
Data Files :