Identifying the density of grassland fire points with kernel density estimation based on spatial dis...
Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics
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Author / Creator
Publisher
Warsaw: De Gruyter
Journal title
Language
English
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Publisher
Warsaw: De Gruyter
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Scope and Contents
Contents
Understanding the risk of grassland fire occurrence associated with historical fire point events is critical for implementing effective management of grasslands. This may require a model to convert the fire point records into continuous spatial distribution data. Kernel density estimation (KDE) can be used to represent the spatial distribution of g...
Alternative Titles
Full title
Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_7f8ebad269aa4162b6f5da608746abbd
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7f8ebad269aa4162b6f5da608746abbd
Other Identifiers
ISSN
2391-5447
E-ISSN
2391-5447
DOI
10.1515/geo-2020-0265
