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Annals of the American Association of Geographers Volume 114, 2024 - Issue 4
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How Retailer Hierarchy Shapes Food Accessibility: A Case Study Using Machine Learning Method to Delineate Service Areas and Hierarchical Levels of Food Retailers

Bi Yu Chena State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Collaborative Innovation Center of Geospatial Technology, and Geocomputation Center for Social Sciences, Wuhan University, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-3591-9968View further author information
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Chenxi Fua State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Collaborative Innovation Center of Geospatial Technology, and Geocomputation Center for Social Sciences, Wuhan University, ChinaCorrespondence[email protected]
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Donggen Wangb Department of Geography, Hong Kong Baptist University, Hong KongView further author information
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Tao Jiac Geocomputation Center for Social Sciences and School of Remote Sensing and Information Engineering, Wuhan University, ChinaView further author information
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Jianya Gonga State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Collaborative Innovation Center of Geospatial Technology, and Geocomputation Center for Social Sciences, Wuhan University, ChinaView further author information
Pages 611-632 | Received 14 Jun 2023, Accepted 02 Oct 2023, Published online: 08 Feb 2024

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