Analysis of Land Development Drivers Using Geographically Weighted Ridge Regression

Analysis of Land Development Drivers Using Geographically Weighted Ridge Regression

Land development processes are driven by complex interactions between socio-economic and spatial factors. Acquiring an understanding of such processes and the underlying procedures helps urban and regional planners, environmental scientists, and policy makers to base their decisions on valid and pro...

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Bibliographic Details
Main Authors:	Pariya Pourmohammadi, Michael P. Strager, Michael J. Dougherty, Donald A. Adjeroh
Format:	Article
Language:	English
Published:	MDPI AG 2021-03-01
Series:	Remote Sensing
Subjects:	land development variables multicollinearity analysis Geographically Weighted Ridge Regression (GWRR)
Online Access:	https://www.mdpi.com/2072-4292/13/7/1307

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