Geospatial Least Squares Support Vector Regression Fused with Spatial Weight Matrix

Due to the increasingly complex objects and massive information involved in spatial statistics analysis, least squares support vector regression (LS-SVR) with a good stability and high calculation speed is widely applied in regression problems of geospatial objects. According to Tobler’s First Law o...

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Autores principales: Haiqi Wang, Liuke Li, Lei Che, Haoran Kong, Qiong Wang, Zhihai Wang, Jianbo Xu
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/be39807fcb5346718d5249d85a7031f0
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