Statistical Modeling of Spatially Stratified Heterogeneous Data-Reference-Cited by-同舟云学术

Statistical Modeling of Spatially Stratified Heterogeneous Data

Published:2024-02-07 Issue:3 Volume:114 Page:499-519
ISSN:2469-4452
Container-title:Annals of the American Association of Geographers
language:en
Short-container-title:Annals of the American Association of Geographers

Author:

Wang Jinfeng¹^ORCID,Haining Robert²^ORCID,Zhang Tonglin³,Xu Chengdong¹,Hu Maogui⁴,Yin Qian⁴,Li Lianfa⁴,Zhou Chenghu¹,Li Guangquan⁵,Chen Hongyan⁶

Affiliation:

1. LREIS, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China, and University of Chinese Academy of Sciences, China

2. Department of Geography, University of Cambridge, UK

3. Department of Statistics, Purdue University, USA

4. LREIS, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China

5. Department of Mathematics, Physics, and Electrical Engineering, Northumbria University, UK

6. Lancaster Environment Centre, Lancaster University, UK, and UK Centre for Ecology & Hydrology, UK

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of China

National Social Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/24694452.2023.2289982

Reference81 articles.

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3. Anselin, L. 2006. Spatial heterogeneity. In Encyclopedia of human geography, ed. B. Warff, 452–53. Thousand Oaks, CA: Sage.

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5. Unrepresentative big surveys significantly overestimated US vaccine uptake

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