A High-Resolution Spatial Distribution-Based Integration Machine Learning Algorithm for Urban Fire Risk Assessment: A Case Study in Chengdu, China

A High-Resolution Spatial Distribution-Based Integration Machine Learning Algorithm for Urban Fire Risk Assessment: A Case Study in Chengdu, China

The development and functional perfection of urban areas have led to increasingly severe fire risks in recent decades. Previous urban fire risk assessment methods relied on subjective judgment, rough data collection, simple linear statistical methods, etc. These drawbacks can lead to low robustness...

Volledige beschrijving

Bibliografische gegevens
Hoofdauteurs: Yulu Hao, Mengdi Li, Jianyu Wang, Xiangyu Li, Junmin Chen
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2023-10-01
Reeks:ISPRS International Journal of Geo-Information
Onderwerpen:
fire risk assessment
spatial distribution
decision tree
neural network
geographically weighted regression
Online toegang:https://www.mdpi.com/2220-9964/12/10/404

Internet

https://www.mdpi.com/2220-9964/12/10/404

Gelijkaardige items