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GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models
Open accessAbstract
Spatial statistics is a growing discipline providing important analytical techniques in a wide range of disciplines in the natural and social sciences. In the R package GWmodel we present techniques from a particular branch of spatial statistics, termed geographically weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localized calibration provides a better description. The approach uses a moving window weighting technique, where localized models are found at target locations. Outputs are mapped to provide a useful exploratory tool into the nature of the data spatial heterogeneity. Currently, GWmodel includes functions for: GW summary statistics, GW principal components analysis, GW regression, and GW discriminant analysis; some of which are provided in basic and robust forms.
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Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
A Caution Regarding Rules of Thumb for Variance Inflation Factors
O’brien, R. M. (2007) · Quality & Quantity · doi:10.1007/s11135-006-9018-6 · Cited by 11,217
Cited by
Basu, S., Berkowitz, S. A., Phillips, R. L., Bitton, A., Landon, B. E., & Phillips, R. S. (2019) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2018.7624 · Cited by 555
Xia, H., Yuan, S., & Prishchepov, A. V. (2023) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2022.106767 · Cited by 523
Metadata
- Authors
- Gollini, I., Lu, B., Charlton, M., Brunsdon, C., & Harris, P.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2015
- Volume
- 63
- Issue
- 17
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W2147279463
- Cited by
- 497
- References
- 2
- FWCI
- 74.48
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Gollini, I., Lu, B., Charlton, M., Brunsdon, C., & Harris, P. (2015). GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models. Journal of Statistical Software. https://doi.org/10.18637/jss.v063.i17
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