SoftwareX (Feb 2023)

GWmodelS: A software for geographically weighted models

  • Binbin Lu,
  • Yigong Hu,
  • Dongyang Yang,
  • Yong Liu,
  • Liuqi Liao,
  • Zuoyao Yin,
  • Tianyang Xia,
  • Zheyi Dong,
  • Paul Harris,
  • Chris Brunsdon,
  • Lex Comber,
  • Guanpeng Dong

Journal volume & issue
Vol. 21
p. 101291

Abstract

Read online

Spatial heterogeneity or non-stationarity has become a popular and necessary concern in exploring relationships between variables. In this regard, geographically weighted (GW) models provide a powerful collection of techniques in its quantitative description. We developed a user-friendly, high-performance and systematic software, named GWmodelS, to promote better and broader usages of such models. Apart from a variety of GW models, including GW descriptive statistics, GW regression models, and GW principal components analysis, data management and mapping tools have also been incorporated with well-designed interfaces.

Keywords