Dossier de preuve de méthode

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.

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Spatial Poverty Mapping and Geographic Targeting

Dossier de méthode taxonomique · process-pipeline / development-studies

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

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Méthodes apparentées

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Same method familyAsset Index Constructionmachine-suggested · Relational suggestion, not evidence.Same method familyMultidimensional Poverty Indexmachine-suggested · Relational suggestion, not evidence.Same method familyParticipatory GISmachine-suggested · Relational suggestion, not evidence.Same method familyPoverty Mapping (Small-Area Estimation)machine-suggested · Relational suggestion, not evidence.