Lu, B, Hu, Y, Yang, D et al. (9 more authors) (2023) GWmodelS: A software for geographically weighted models. SoftwareX, 21. 101291. ISSN 2352-7110
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Spatial heterogeneity; Spatio-temporal models; Visualization; High-performance; Local techniques |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Jan 2023 17:25 |
Last Modified: | 25 Jun 2023 23:12 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.softx.2022.101291 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:194864 |