首页|Classifcation of wildfres in relation to land cover types and associated variables by applying cluster analysis: a case study in the Iberian Peninsula

Classifcation of wildfres in relation to land cover types and associated variables by applying cluster analysis: a case study in the Iberian Peninsula

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  • NETL
  • NSTL
  • Springer Nature
Wildfres are a major environmental problem that have both economic and ecological impacts. Wildfres typically spread in a particular pattern, determined by factors such as the elements on the ground that catch fre or their geographic location. This study reports and discusses how wildfres in the Valencian Community, Spain, have been spatially grouped in recent years (from 2016 to 2020). It also characterizes each cluster in terms of location and land cover. An exploratory analysis of the environmental variables associated with wildfres has been conducted using fnite Gaussian mixture models in R (R package mclust). The primary fndings can be used to better understand the types of wildfres that occur in individual spatial zones. Some interesting cluster patterns in specifc geographical areas, such as river basins, have also been reported. The method can identify clusters of fres by detecting areas with similar characteristics at the land use level. It also allows for the implementation of measures aimed at reducing the impacts of wildfres and can help in the extinction of wildfres based on the characteristics of all the fres grouped using spatial and land cover dimensions.

Environmental covariatesGeographic clusteringMixed-methodsMclustWildfre patterns

Laura Serra、Pablo Juan、Carlos Diaz‑Avalos、Pau Arago、Somnath Chaudhuri、Sergio Trilles

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Research Group on Statistics,Econometrics and Health (GRECS),University of Girona,17004 Girona,Spain

Departamento de Probabilidad y Estadistica,IIMAS, UNAM,Mexico City,Mexico

Servei Territorial de Medi Ambient.Conselleria de Medi Ambient d'infraestructures en Territori.Generalitat Valenciana,46018 Valencia,Spain

Research Group on Statistics,Econometrics and Health (GRECS),University of Girona,17004 Girona,Spain||WorldPop Research Group,Department of Geography and Environmental Science,University of Southampton, Southampton,UK

Institute of New Imaging Technologies(INIT),Universitat Jaume I,12071 Castello de La Plana,Spain

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2025

10.1007/s10661-025-14053-y

Environmental Monitoring and Assessment

Environmental Monitoring and Assessment

ISSN：0167-6369
年,卷(期)：2025.197(6)
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