A Probabilistic Approach to Address Data Uncertainty in Regionalization-Reference-Cited by-同舟云学术

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A Probabilistic Approach to Address Data Uncertainty in Regionalization

Published:2021-03-04 Issue: Volume: Page:
ISSN:0016-7363
Container-title:Geographical Analysis
language:en
Short-container-title:Geogr Anal

Author:

Wei Ran¹,Rey Sergio¹^ORCID,Grubesic Tony H.²

Affiliation:

1. Center for Geospatial Sciences School of Public Policy University of California Riverside CA92521USA

2. Geoinformatics & Policy Analytics Laboratory School of Information University of Texas at Austin Austin TX USA

Funder

National Science Foundation

Academic Senate, University of California, Riverside

Publisher

Wiley

Subject

Earth-Surface Processes,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gean.12282

Reference50 articles.

1. Accounting for Spatial Uncertainty in Optimization with Spatial Decision Support Systems

2. How the ACS gets it wrong: The story of the American Community Survey and a small, inner city neighborhood

3. Regionalization of Multiscale Spatial Processes by Using a Criterion for Spatial Aggregation Error;Bradley J. R.;Journal of the Royal Statistical Society: Series B (Statistical Methodology),2017

4. Understanding the Impacts of Human Mobility on Accessibility Using Massive Mobile Phone Tracking Data

5. Reserve selection as a maximal covering location problem

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1. Advancing Process-Oriented Geographical Regionalization Model;Annals of the American Association of Geographers;2024-08-22

2. Extending regionalization algorithms to explore spatial process heterogeneity;International Journal of Geographical Information Science;2023-10-13

3. Probabilistic Regionalization via Evidence Accumulation with Random Spanning Trees as Weak Spatial Representations;Geographical Analysis;2023-08-23

4. The Role of Data Sample Uncertainty in Delineations of Core Based Statistical Areas and Rural Urban Commuting Areas;Spatial Demography;2023-06-15

5. Approximation schemes for districting problems with probabilistic constraints;European Journal of Operational Research;2023-05

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