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Annals of the American Association of Geographers Volume 113, 2023 - Issue 5
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A Computational Framework for Preserving Privacy and Maintaining Utility of Geographically Aggregated Data: A Stochastic Spatial Optimization Approach

Yue LinDepartment of Geography, The Ohio State University, USAORCID Iconhttps://orcid.org/0000-0001-8568-7734View further author information
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Ningchuan XiaoDepartment of Geography, The Ohio State University, USAORCID Iconhttps://orcid.org/0000-0002-6585-6294View further author information
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Pages 1035-1056 | Received 09 Sep 2022, Accepted 24 Jan 2023, Published online: 20 Mar 2023

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Yue Lin. (2023) Geo-indistinguishable masking: enhancing privacy protection in spatial point mapping. Cartography and Geographic Information Science 50:6, pages 608-623.
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Yue Lin & Ningchuan Xiao. (2023) Generating Small Areal Synthetic Microdata from Public Aggregated Data Using an Optimization Method. The Professional Geographer 0:0, pages 1-11.
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