Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics

Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics

Bibliographic Details
Main Authors: Shuo Zhen, Jingyu Zhang, Zhengxiang Zhang, Jianjun Zhao
Format: Article
Language:English
Published: De Gruyter 2021-07-01
Series:Open Geosciences
Subjects:
grassland fire
risk
spatial cluster
ripley’s k
Online Access:https://doi.org/10.1515/geo-2020-0265
id doaj-7f8ebad269aa4162b6f5da608746abbd
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spelling doaj-7f8ebad269aa4162b6f5da608746abbd2021-10-03T07:42:32ZengDe GruyterOpen Geosciences2391-54472021-07-0113179680610.1515/geo-2020-0265Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristicsShuo Zhen0Jingyu Zhang1Zhengxiang Zhang2Jianjun Zhao3Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun 130024, ChinaFaculty of Geographical Sciences, Beijing Normal University, Beijing 100857, ChinaKey Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun 130024, ChinaKey Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun 130024, Chinahttps://doi.org/10.1515/geo-2020-0265grassland fireriskspatial clusterripley’s k
collection DOAJ
language English
format Article
sources DOAJ
author Shuo Zhen
Jingyu Zhang
Zhengxiang Zhang
Jianjun Zhao
spellingShingle Shuo Zhen
Jingyu Zhang
Zhengxiang Zhang
Jianjun Zhao
Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics
Open Geosciences
grassland fire
risk
spatial cluster
ripley’s k
author_facet Shuo Zhen
Jingyu Zhang
Zhengxiang Zhang
Jianjun Zhao
author_sort Shuo Zhen
title Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics
title_short Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics
title_full Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics
title_fullStr Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics
title_full_unstemmed Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics
title_sort identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics
publisher De Gruyter
series Open Geosciences
issn 2391-5447
publishDate 2021-07-01
topic grassland fire
risk
spatial cluster
ripley’s k
url https://doi.org/10.1515/geo-2020-0265
work_keys_str_mv AT shuozhen identifyingthedensityofgrasslandfirepointswithkerneldensityestimationbasedonspatialdistributioncharacteristics
AT jingyuzhang identifyingthedensityofgrasslandfirepointswithkerneldensityestimationbasedonspatialdistributioncharacteristics
AT zhengxiangzhang identifyingthedensityofgrasslandfirepointswithkerneldensityestimationbasedonspatialdistributioncharacteristics
AT jianjunzhao identifyingthedensityofgrasslandfirepointswithkerneldensityestimationbasedonspatialdistributioncharacteristics
_version_ 1716846116055547904

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