A Geographically Weighted Regression Analysis of the Underlying Factors Related to the Surface Urban Heat Island Phenomenon

A Geographically Weighted Regression Analysis of the Underlying Factors Related to the Surface Urban Heat Island Phenomenon

This study investigated how underlying biophysical attributes affect the characterization of the Surface Urban Heat Island (SUHI) phenomenon using (and comparing) two statistical techniques: global regression and geographically weighted regression (GWR). Land surface temperature (LST) was calculated...

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Bibliographic Details
Main Authors: Chunhong Zhao, Jennifer Jensen, Qihao Weng, Russell Weaver
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Remote Sensing
Subjects:
Surface Urban Heat Island (SUHI)
landscape
geographically weighted regression
spatial pattern
Austin
San Antonio
Online Access:http://www.mdpi.com/2072-4292/10/9/1428

Internet

http://www.mdpi.com/2072-4292/10/9/1428

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