Neeti Pokhriyal|Denis Jacques
Combining disparate data sources for improved poverty prediction and mapping
University at Buffalo, State University of New York|UCLouvain
significance spatially finest poverty maps essential improved diagnosis policy planning especially keeping view sustainable development goals big data sources like call data records satellite imagery shown promise providing intercensal statistics study outlines computational framework efficiently combine disparate data sources like environmental data mobile data provide accurate predictions poverty individual dimensions finest spatial microregions senegal validated using concurrent census data