Adaptively robust geographically weighted regression-Reference-Cited by-同舟云学术

Adaptively robust geographically weighted regression

Published:2022-04 Issue: Volume:48 Page:100623
ISSN:2211-6753
Container-title:Spatial Statistics
language:en
Short-container-title:Spatial Statistics

Author:

Sugasawa Shonosuke^ORCID,Murakami Daisuke^ORCID

Funder

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Statistics and Probability

Reference32 articles.

1. Alleviating the effect of collinearity in geographically weighted regression;Bárcena;J. Geogr. Syst.,2014

2. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity, Vol. 571;Belsley,2005

3. Bivand, R., Yu, D., 2020. spgwr: Geographically Weighted Regression. R package version 0.6-33.

4. Brunsdon, C., Charlton, M., Harris, P., 2012. Living with collinearity in local regression models. In: Proceedings of the 10th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Brasil.

5. Geographically weighted regression;Brunsdon;J. R. Statist. Soc.: Ser. D (Statist.),1998

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A fuzzy rough sets-based data-driven approach for quantifying local and overall fuzzy relations between variables for spatial data;Applied Soft Computing;2024-09

2. Testing spatial heteroscedasticity in mixed geographically weighted regression models;Journal of Statistical Computation and Simulation;2024-08-23

3. The Impact of Human Activity Expansion on Habitat Quality in the Yangtze River Basin;Land;2024-06-22

4. Spatial non-parametric Bayesian clustered coefficients;Scientific Reports;2024-04-27

5. A linearization for stable and fast geographically weighted Poisson regression;International Journal of Geographical Information Science;2023-05-12