A Rejoinder to the Commentaries on “A Route Map for Successful Applications of Geographically Weighted Regression” by Comber et al. (2022)
Author:
Affiliation:
1. School of Geography Leeds University Leeds UK
2. Sustainable Agriculture Sciences Rothamsted Research, North Wyke Okehampton UK
3. National Centre for Geocomputation, NCG Maynooth University Maynooth Ireland
Publisher
Wiley
Subject
Earth-Surface Processes,Geography, Planning and Development
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/gean.12352
Reference7 articles.
1. Comber A. C.Brunsdon M.Charlton G.Dong R.Harris B.Lu Y.Lu D.Murakami T.Nakaya Y.Wang andP.Harris. (2020).“The GWR Route Map: A Guide to the Informed Application of Geographically Weighted Regression.”arXiv: 2004.06070.https://arxiv.org/abs/2004.06070
2. A Route Map for Successful Applications of Geographically Weighted Regression
3. gwverse: A Template for a New Generic Geographically Weighted R Package
4. A Comment on “A Route Map for Successful Applications of Geographically‐Weighted Regression”: The Alternative Expressway to Defensible Regression‐Based Local Modeling
5. A Simulation Study on Specifying a Regression Model for Spatial Data: Choosing between Autocorrelation and Heterogeneity Effects
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