GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models

Isabella Gollini, Binbin Lu, Martin Charlton, Christopher Brunsdon and Paul Harris

Journal of Statistical Software, 2015, vol. 063, issue i17

Abstract: 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.

Date: 2015-02-16
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (52)

Downloads: (external link)
https://www.jstatsoft.org/index.php/jss/article/view/v063i17/v63i17.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... GWmodel_1.2-5.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... ile/v063i17/v63i17.R

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:063:i17

DOI: 10.18637/jss.v063.i17

Access Statistics for this article

Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis

More articles in Journal of Statistical Software from Foundation for Open Access Statistics
Bibliographic data for series maintained by Christopher F. Baum ().