A cellular automaton approach for simulating forest fires

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Main Authors: Gonzalez, Emmanuel A., Leonor, Martin Christian G.
Format: text
Published: Animo Repository 2023
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/9741
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Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-11969
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:faculty_research-119692023-07-25T06:00:04Z A cellular automaton approach for simulating forest fires Gonzalez, Emmanuel A. Leonor, Martin Christian G. 2023-07-25T08:50:41Z text https://animorepository.dlsu.edu.ph/faculty_research/9741 Faculty Research Work Animo Repository Forest fires -- Simulation methods Forest fire forecasting -- Simulation methods Cellular automata
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Forest fires -- Simulation methods
Forest fire forecasting -- Simulation methods
Cellular automata
spellingShingle Forest fires -- Simulation methods
Forest fire forecasting -- Simulation methods
Cellular automata
Gonzalez, Emmanuel A.
Leonor, Martin Christian G.
A cellular automaton approach for simulating forest fires
format text
author Gonzalez, Emmanuel A.
Leonor, Martin Christian G.
author_facet Gonzalez, Emmanuel A.
Leonor, Martin Christian G.
author_sort Gonzalez, Emmanuel A.
title A cellular automaton approach for simulating forest fires
title_short A cellular automaton approach for simulating forest fires
title_full A cellular automaton approach for simulating forest fires
title_fullStr A cellular automaton approach for simulating forest fires
title_full_unstemmed A cellular automaton approach for simulating forest fires
title_sort cellular automaton approach for simulating forest fires
publisher Animo Repository
publishDate 2023
url https://animorepository.dlsu.edu.ph/faculty_research/9741
_version_ 1772836080086679552