The University of Southampton
University of Southampton Institutional Repository

Bangladesh 1km Poverty

Bangladesh 1km Poverty
Bangladesh 1km Poverty
DATASET: 2011 estimates of mean DHS wealth index score per grid square, and associated uncertainty metrics. REGION: Asia SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx. 1km at the equator) PROJECTION: Geographic, WGS84 UNITS: DHS wealth index score (poverty dataset); standard deviation (uncertainty dataset) MAPPING APPROACH: Bayesian model-based geostatistics in combination with high resolution gridded spatial covariates and aggregated mobile phone data applied to GPS-located household survey data on poverty from the DHS Program. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: bgd2011wipov.tif = Bangladesh (bgd) asset-based poverty map for 2011 showing estimates of mean DHS wealth index score per grid square. bgd2011wipovsd.tif = uncertainty dataset showing standard deviation per grid square. DATE OF PRODUCTION: January 2017 CITATION: Steele, J. E. et al. Mapping poverty using mobile phone and satellite data. J. R. Soc. Interface 14, 20160690 (2017). Online here: http://rsif.royalsocietypublishing.org/content/14/127/20160690
Poverty Indicators, Geo-statistics, GIS, Health, Development
University of Southampton
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8

WorldPop, (2017) Bangladesh 1km Poverty. University of Southampton doi:10.5258/SOTON/WP00020 [Dataset]

Record type: Dataset

Abstract

DATASET: 2011 estimates of mean DHS wealth index score per grid square, and associated uncertainty metrics. REGION: Asia SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx. 1km at the equator) PROJECTION: Geographic, WGS84 UNITS: DHS wealth index score (poverty dataset); standard deviation (uncertainty dataset) MAPPING APPROACH: Bayesian model-based geostatistics in combination with high resolution gridded spatial covariates and aggregated mobile phone data applied to GPS-located household survey data on poverty from the DHS Program. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: bgd2011wipov.tif = Bangladesh (bgd) asset-based poverty map for 2011 showing estimates of mean DHS wealth index score per grid square. bgd2011wipovsd.tif = uncertainty dataset showing standard deviation per grid square. DATE OF PRODUCTION: January 2017 CITATION: Steele, J. E. et al. Mapping poverty using mobile phone and satellite data. J. R. Soc. Interface 14, 20160690 (2017). Online here: http://rsif.royalsocietypublishing.org/content/14/127/20160690

This record has no associated files available for download.

More information

Published date: 2017
Keywords: Poverty Indicators, Geo-statistics, GIS, Health, Development

Identifiers

Local EPrints ID: 440448
URI: http://eprints.soton.ac.uk/id/eprint/440448
PURE UUID: d15a5637-e4e8-47c5-919d-48914e8a0b21

Catalogue record

Date deposited: 05 May 2020 16:38
Last modified: 05 May 2023 15:52

Export record

Altmetrics

Contributors

Creator: WorldPop

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×