Data-driven modeling of wildfire spread with stochastic cellular automata and latent spatio-temporal dynamics-Reference-Cited by-同舟云学术

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Data-driven modeling of wildfire spread with stochastic cellular automata and latent spatio-temporal dynamics

Published:2024-03 Issue: Volume:59 Page:100794
ISSN:2211-6753
Container-title:Spatial Statistics
language:en
Short-container-title:Spatial Statistics

Author:

Grieshop Nicholas,Wikle Christopher K.

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Statistics and Probability

Reference42 articles.

1. Bayesian analysis of binary and polychotomous response data;Albert;J. Amer. Statist. Assoc.,1993

2. Parameter estimation of fire propagation models using level set methods;Alessandri;Appl. Math. Model.,2020

3. The Rothermel Surface Fire Spread Model and Associated Developments: A Comprehensive Explanation;Andrews,2018

4. Statistical challenges in agent-based modeling;Banks;Am. Stat.,2021

5. Statistics for Spatio-Temporal Data;Cressie,2015

Cited by 1 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. Echo state network-enhanced symbolic regression for spatio-temporal binary stochastic cellular automata;Spatial Statistics;2024-04

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