Libgwmodel: a Fundamental C++ Library to Develop Geographically Weighted Models

The increasing popularity of geographically weighted (GW) techniques has resulted in the development of several software packages. Their ongoing updates and enhancements always require extraordinary efforts. In this study, we introduced a fundamental C++ library, namely libgwmodel. With its updates and maintenance in the future, all the associated products could be uniformly maintained and upgraded. Moreover, its development will greatly facilitate the further achievement of more GW models or tools, even from different teams, so as to form a comprehensive foundation for further development and extensions of GW models.

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Published
2025-06-16
DOI
https://doi.org/10.1109/geoinformatics67279.2025.11173522
Primary Topic
Geographic Information Systems Studies
Type
article
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article

Libgwmodel: a Fundamental C++ Library to Develop Geographically Weighted Models

Binbin Lu, Guangyu Ou, Yigong Hu, Yiyun Zhang
Geographic Information Systems Studies
article

Libgwmodel: a Fundamental C++ Library to Develop Geographically Weighted Models

Binbin Lu, Guangyu Ou, Yigong Hu, Yiyun Zhang
article en

Abstract

The increasing popularity of geographically weighted (GW) techniques has resulted in the development of several software packages. Their ongoing updates and enhancements always require extraordinary efforts. In this study, we introduced a fundamental C++ library, namely libgwmodel. With its updates and maintenance in the future, all the associated products could be uniformly maintained and upgraded. Moreover, its development will greatly facilitate the further achievement of more GW models or tools, even from different teams, so as to form a comprehensive foundation for further development and extensions of GW models.

University of Bristol (GB), Wuhan University (CN)
Openalex Percentile: Top 68%
Geographic Information Systems Studies
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Libgwmodel: a Fundamental C++ Library to Develop Geographically Weighted Models — Binbin Lu, Guangyu Ou, et al. · (2025) | TGRS Research Map | TGRS