Assessing heat vulnerability in Philadelphia using geographically weighted principal component analysis (GWPCA): A geospatial big data-driven approach

Assessing heat vulnerability in Philadelphia using geographically weighted principal component analysis (GWPCA): A geospatial big data-driven approach

The impact of climate change, specifically more intense heat waves, has increased concerns about heat vulnerability, particularly among high-risk populations. This research utilizes multi-source geospatial big data and employs Geographically Weighted Principal Component Analysis (GWPCA) as well as G...

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Bibliographic Details
Main Authors: Ehsan Foroutan, Tao Hu, Fan Zhang, Hongbo Yu
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Heat vulnerability
PCA
GWPCA
Big data
Spatial heterogeneity
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843224000074

Internet

http://www.sciencedirect.com/science/article/pii/S1569843224000074

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