GWmodelS: a standalone software to train geographically weighted models

GWmodelS: a standalone software to train geographically weighted models

With the recent increase in studies on spatial heterogeneity, geographically weighted (GW) models have become an essential set of local techniques, attracting a wide range of users from different domains. In this study, we demonstrate a newly developed standalone GW software, GWmodelS using a commun...

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Bibliographic Details
Main Authors: Binbin Lu, Yigong Hu, Dongyang Yang, Yong Liu, Guangyu Ou, Paul Harris, Chris Brunsdon, Alexis Comber, Guanpeng Dong
Format: Article
Language:English
Published: Taylor & Francis Group 2024-05-01
Series:Geo-spatial Information Science
Subjects:
Spatial heterogeneity
spatial non-stationarity
visualization
high-performance
local techniques
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2024.2343011

Internet

https://www.tandfonline.com/doi/10.1080/10095020.2024.2343011

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