An R package for calculating and analyzing food demand and in accordance with the Edmonds et al food demand model
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Updated
May 21, 2022 - R
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food-security
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Codes for food store presence, density and popularity predictor. Merges census tract-level demographic data from ACS, neighborhood amenities from heterogenous sources, and Point of Interest (POI) data from anonymized cellphone GPS ‘pings’ to identify food retailer location and foot traffic information.
machine-learning
predictive-modeling
gradient-boosting-classifier
food-security
gradient-boosting-regressor
food-store
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Updated
Sep 8, 2023 - R
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