Spatial Poverty Mapping
Spatial poverty mapping visualises and analyses the geographic distribution of poverty using geographic information systems and spatial statistics, turning poverty estimates into maps that reveal where the poor live at fine spatial scales. It combines small-area poverty estimates with spatial covariates — remote-sensing data, night-time lights, accessibility, and terrain — examines spatial patterns and autocorrelation, and supports the geographic targeting of resources. Consolidated through the World Bank programme documented by Bedi, Coudouel, and Simler and energised by data such as the satellite night-lights series analysed by Henderson, Storeygard, and Weil, it has become a standard tool for evidence-based geographic targeting.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Ramani ya mbinu
Jirani ya mbinu zinazohusiana — chagua nodi ili kuchunguza.
Vyanzo
- Henderson, J. V., Storeygard, A., & Weil, D. N. (2012). Measuring Economic Growth from Outer Space. American Economic Review, 102(2), 994-1028. DOI: 10.1257/aer.102.2.994 ↗
- Bedi, T., Coudouel, A., & Simler, K. (Eds.). (2007). More Than a Pretty Picture: Using Poverty Maps to Design Better Policies and Interventions. Washington, DC: World Bank. ISBN: 9780821369319
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 22). Spatial Poverty Mapping and Geographic Targeting. ScholarGate. https://scholargate.app/sw/development-studies/spatial-poverty-mapping
Mbinu ipi?
Weka mbinu hii kando ya jamaa zake wa karibu na uzisome bega kwa bega — maktaba huweka vitabu mezani; uamuzi ni wako.
- Asset Index ConstructionDevelopment Studies↔ linganisha
- Multidimensional Poverty IndexUchumi↔ linganisha
- Participatory GISDevelopment Studies↔ linganisha
- Poverty Mapping (Small-Area Estimation)Development Studies↔ linganisha
Imerejelewa na
Mbinu zinazofanana
Umeona tatizo kwenye ukurasa huu? Ripoti au pendekeza marekebisho →