Associations between Wildfire Risk and Socio-Economic-Demographic Characteristics Using GIS Technology

ISSN Print: 2151-1950
ISSN Online: 2151-1969
www.scirp.net/journal/jgis
E-mail: [email protected]

Citations

"Associations between Wildfire Risk and Socio-Economic-Demographic Characteristics Using GIS Technology"
written by Seong Nam Hwang, Kayla Meier,
published by Journal of Geographic Information System, Vol.14 No.5, 2022

has been cited by the following article(s):

[1]	Advancing the community health vulnerability index for wildland fire smoke exposure
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[2]	Evidence of increasing wildfire damage with decreasing property price in Southern California fires
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[3]	Optimal allocation model of forest fire detection towers in protected areas based on fire occurrence risk: Where and how to act?
	Canadian Journal of …, 2023

[1]	Predicting Wildfire Spread with Machine Learning and a Socio-Ecological Approach to Identify Areas of High Vulnerability 2025 IEEE Conference on Technologies for Sustainability (SusTech), 2025 DOI:10.1109/SusTech63138.2025.11025662

[2]	Analyzing public response to wildfires: A socio-spatial study using SIR models and NLP techniques Computers, Environment and Urban Systems, 2025 DOI:10.1016/j.compenvurbsys.2025.102333

[3]	Optimal allocation model of forest fire detection towers in protected areas based on fire occurrence risk: Where and how to act? Canadian Journal of Forest Research, 2024 DOI:10.1139/cjfr-2023-0084

[4]	Evidence of increasing wildfire damage with decreasing property price in Southern California fires PLOS ONE, 2024 DOI:10.1371/journal.pone.0300346

[5]	The intersection of socioeconomic status and wildfire risk: Insights from California International Journal of ADVANCED AND APPLIED SCIENCES, 2024 DOI:10.21833/ijaas.2024.10.009