Geospatial Least Squares Support Vector Regression Fused with Spatial Weight Matrix

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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Bibliographic Details
Main Authors: Haiqi Wang, Liuke Li, Lei Che, Haoran Kong, Qiong Wang, Zhihai Wang, Jianbo Xu
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:ISPRS International Journal of Geo-Information
Subjects:
spatial weight matrix
spatial prediction
least squares support vector regression (LS-SVR)
Online Access:https://www.mdpi.com/2220-9964/10/11/714

Internet

https://www.mdpi.com/2220-9964/10/11/714

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