Combining spatial and sociodemographic regression techniques to predict residential fire counts at the census tract level-Reference-Cited by-同舟云学术

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Combining spatial and sociodemographic regression techniques to predict residential fire counts at the census tract level

Published:2021-07 Issue: Volume:88 Page:101633
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Buffington Tyler,Scott James G.,Ezekoye Ofodike A.

Funder

Federal Emergency Management Agency

Publisher

Elsevier BV

Subject

Urban Studies,General Environmental Science,Ecological Modeling,Geography, Planning and Development

Reference28 articles.

1. Modeling spatial–temporal dynamics of urban residential fire risk using a Markov chain technique;Ardianto;International Journal of Disaster Risk Science,2019

2. Statistical analysis of fire department response times and effects on fire outcomes in the United States;Buffington;Fire Technology,2019

3. The relationships between fire service response time and fire outcomes;Challands;Fire Technology,2010

4. The use of spatial analytical techniques to explore patterns of fire incidence: A South Wales case study;Corcoran;Computers, Environment and Urban Systems,2007

5. Effects of incorporating spatial autocorrelation into the analysis of species distribution data;Dormann;Global Ecology and Biogeography,2007

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantifying the relationship between US residential mobility and fire service call volume;International Journal of Emergency Services;2024-09-17

2. Predictive Modeling of Fire Incidence Using Deep Neural Networks;Fire;2024-04-12

3. Spatial modelling and mapping of urban fire occurrence in Portugal;Fire Safety Journal;2023-07

4. Analyzing the risk factors of residential fires in urban and rural census tracts of Ohio using panel data analysis;Applied Geography;2023-02

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