A data-driven approach to mapping multidimensional poverty at residential block level in Mexico
Accurate, inexpensive and granular human poverty assessments are critical for data-driven policy decision-making. This research proposes a novel approach to computing poverty scores utilizing multispectral satellite images and indices calculated from census reference values. We show how this approac...
Main Authors: | Zea-Ortiz, Marivel, Vera, Pablo, Salas, Joaquín, Manduchi, Roberto, Villaseñor, Elio, Figueroa, Alejandra, Suárez, Ranyart R. |
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Format: | Article |
Language: | English |
Published: |
Springer Science and Business Media LLC
2024
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Online Access: | https://hdl.handle.net/1721.1/155801 |
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