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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Zea-Ortiz, Marivel, Vera, Pablo, Salas, Joaquín, Manduchi, Roberto, Villaseñor, Elio, Figueroa, Alejandra, Suárez, Ranyart R.
Άλλοι συγγραφείς: Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Μορφή: Άρθρο
Γλώσσα:English
Έκδοση: Springer Science and Business Media LLC 2024
Διαθέσιμο Online:https://hdl.handle.net/1721.1/155801

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