Assessing heat vulnerability in Philadelphia using geographically weighted principal component analysis (GWPCA): A geospatial big data-driven approach-Reference-Cited by-同舟云学术

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

Published:2024-03 Issue: Volume:127 Page:103653
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Foroutan Ehsan^ORCID,Hu Tao^ORCID,Zhang Fan,Yu Hongbo

Publisher

Elsevier BV

Reference89 articles.

1. The association between arthritis and the weather;Aikman;Int. J. Biometeorol.,1997

2. Relation between elevated ambient temperature and mortality: a review of the epidemiologic evidence;Basu;Epidemiol. Rev.,2002

3. A heat vulnerability index and adaptation solutions for Pittsburgh, Pennsylvania;Bradford;Environ. Sci. Technol.,2015

4. Heat vulnerability and extreme heat risk at the metropolitan scale: A case study of Taipei metropolitan area, Taiwan;Chen;Urban Climate,2022

5. Approaches for identifying heat-vulnerable populations and locations: A systematic review;Cheng;Sci. Total Environ.,2021

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2. Urban Disparity Analytics Using GIS: A Systematic Review;Sustainability;2024-07-12

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