GWmodelS A software for geographically weighted models

A - Papers appearing in refereed journals

Lu, B., Hu, Y., Yang, D., Liu, Y., Liao, L., Yin, Z., Xia, T., Dong, Z., Harris, P., Brunsdon, C., Comber, A. and Dong, G. 2023. GWmodelS A software for geographically weighted models. SoftwareX. 21, p. 101291. https://doi.org/10.1016/j.softx.2022.101291

AuthorsLu, B., Hu, Y., Yang, D., Liu, Y., Liao, L., Yin, Z., Xia, T., Dong, Z., Harris, P., Brunsdon, C., Comber, A. and Dong, G.
Abstract

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.

KeywordsSpatial heterogeneity; Spatio-temporal models; Visualization; High-performance; Local techniques
Year of Publication2023
JournalSoftwareX
Journal citation21, p. 101291
Digital Object Identifier (DOI)https://doi.org/10.1016/j.softx.2022.101291
Open accessPublished as ‘gold’ (paid) open access
FunderNational Natural Science Foundation of China
Publisher's version
Output statusPublished
Publication dates
Online16 Dec 2022
Publication process dates
Accepted07 Dec 2022
PublisherElsevier
ISSN2352-7110

Permalink - https://repository.rothamsted.ac.uk/item/98v22/gwmodels-a-software-for-geographically-weighted-models

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