Published November 17, 2025
| Version v1
Conference paper
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Using spatial data to identify food accessibility in Lusaka, Zambia
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1.
University of North Carolina at Charlotte
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2.
Cornell University
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3.
KU Leuven
Description
We integrate a food access measure with a poverty index derived from remotely sensed data to empirically demonstrate spatial food access variability across food environments in Lusaka, Zambia. This novel spatial approach identifies areas of low food access and high poverty at a sub-residential area scale, highlighting areas that are most vulnerable to food insecurity.
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Spatial food access.pdf
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