The Forgotten Semantics of Regression Modeling in Geography-Reference-Cited by-同舟云学术

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The Forgotten Semantics of Regression Modeling in Geography

Published:2019-05-29 Issue:1 Volume:53 Page:113-134
ISSN:0016-7363
Container-title:Geographical Analysis
language:en
Short-container-title:Geogr. Anal.

Author:

Comber Alexis John¹^ORCID,Harris Paul²^ORCID,Lü Yihe³,Wu Lianhai²^ORCID,Atkinson Peter M.³⁴⁵⁶^ORCID

Affiliation:

1. School of Geography University of Leeds Leeds UK

2. Sustainable Agriculture Sciences, Rothamsted Research Harpenden UK

3. Chinese Academy of Sciences Beijing 100085China

4. Faculty of Science and Technology Lancaster University Lancaster UK

5. School of Geography and Environmental Science University of Southampton Highfield Southampton SO17 1BJUK

6. School of Natural and Built Environment Queen's University Belfast BT7 1NNUK

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Earth-Surface Processes,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gean.12199

Reference52 articles.

1. SPATIAL DEPENDENCE AND SPATIAL STRUCTURAL INSTABILITY IN APPLIED REGRESSION ANALYSIS*

2. Thirty years of spatial econometrics

3. Climate-disease connections: Rift Valley Fever in Kenya

4. Problems with universal kriging

5. Spatial Scale Problems and Geostatistical Solutions: A Review

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2. Introduction to the 50th Anniversary Special Issue: Happy Birthday,Geographical Analysis!;Geographical Analysis;2021-01

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