The Importance of Scale in Spatially Varying Coefficient Modeling-Reference-Cited by-同舟云学术

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The Importance of Scale in Spatially Varying Coefficient Modeling

Published:2018-12-20 Issue:1 Volume:109 Page:50-70
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:

Murakami Daisuke¹,Lu Binbin²^ORCID,Harris Paul³^ORCID,Brunsdon Chris⁴^ORCID,Charlton Martin⁴^ORCID,Nakaya Tomoki⁵^ORCID,Griffith Daniel A.⁶^ORCID

Affiliation:

1. Department of Data Science, The Institute of Statistical Mathematics

2. School of Remote Sensing and Information Engineering, Wuhan University

3. Sustainable Agricultural Sciences, Rothamsted Research

4. National Centre for Geocomputation, Maynooth University

5. Graduate School of Environmental Studies, Tohoku University

6. School of Economic, Political and Policy Sciences, The University of Texas at Dallas

Funder

National Natural Science Foundation of China

Japan Society for the Promotion of Science

Biotechnology and Biological Sciences Research Council

Publisher

Informa UK Limited

Subject

Earth-Surface Processes,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/24694452.2018.1462691

Reference77 articles.

1. Thirty years of spatial econometrics

2. Properties of Tests for Spatial Dependence in Linear Regression Models

3. Space varying coefficient models for small area data

4. Exploring the Relations Between Riverbank Erosion and Geomorphological Controls Using Geographically Weighted Logistic Regression

5. Alleviating the effect of collinearity in geographically weighted regression

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