Spatial prediction of poverty in Gauteng province (South Africa) in-between Censuses using land use datasets

dc.contributor.authorKatumba, Samy Kabangu
dc.contributor.authorCoetzee, Serena Martha
dc.contributor.authorStein, Alfred
dc.contributor.authorFabris-Rotelli, Inger Nicolette
dc.contributor.emailsamy.katumba@up.ac.zaen_US
dc.date.accessioned2024-11-28T12:56:00Z
dc.date.available2024-11-28T12:56:00Z
dc.date.issued2024-11
dc.descriptionDATA AVAILABILITY STATEMENT : The South African Multidimensional Poverty Index (SAMPI) data that support the findings of this study are available from the corresponding author upon reasonable request. However, the South African Land-Cover datasets can be downloaded from the Department of Forestry, Fisheries and the Environment (Republic of South Africa)'s website: https://egis.environment.gov.za/sa_national_land_cover_datasets.en_US
dc.description.abstractTo realize the first sustainable development goal of ending “poverty in all its forms everywhere,” local governments in South Africa need to implement informed targeted policy interventions based on up-to-date data and sound analytics. Statistics South Africa (Stats SA) Censuses reveal the socioeconomic circumstances of people living in South Africa but are only conducted every 10 years. As a result, most analytical studies done in-between Censuses rely on outdated socioeconomic data. This study demonstrates how poverty levels in one of the provinces of South Africa, Gauteng, can be predicted when up-to-date Census datasets are not available. The spatial lag model is used to explain the relationship between the South African Multidimensional Poverty Index (SAMPI) and statistically significant variables extracted from land use datasets (i.e., land areas classified as built-up, informal, residential, township, and non-urban), and to ultimately predict the levels of poverty. Out-of-sample predicted poverty levels obtained based on the spatial lag model correlate with the actual levels of poverty thereby reflecting known spatial patterns of the levels of poverty in Gauteng province.en_US
dc.description.departmentGeography, Geoinformatics and Meteorologyen_US
dc.description.departmentStatisticsen_US
dc.description.librarianhj2024en_US
dc.description.sdgSDG-01:No povertyen_US
dc.description.urihttp://www.wileyonlinelibrary.com/journal/tgisen_US
dc.identifier.citationKatumba, S., Coetzee, S., Stein, A., & Fabris-Rotelli, I. (2024). Spatial prediction of poverty in Gauteng province (South Africa) in-between Censuses using land use datasets. Transactions in GIS, 28, 1979–2004. https://doi.org/10.1111/tgis.13227.en_US
dc.identifier.issn1361-1682 (print)
dc.identifier.issn1467-9671 (online)
dc.identifier.other10.1111/tgis.13227
dc.identifier.urihttp://hdl.handle.net/2263/99669
dc.language.isoenen_US
dc.publisherWileyen_US
dc.rights© 2024 The Author(s). Transactions in GIS published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License.en_US
dc.subjectPovertyen_US
dc.subjectGauteng Province, South Africaen_US
dc.subjectSustainable development goals (SDGs)en_US
dc.subjectSDG-01: No povertyen_US
dc.titleSpatial prediction of poverty in Gauteng province (South Africa) in-between Censuses using land use datasetsen_US
dc.typeArticleen_US

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