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dc.creatorZúñiga-Vásquez,José Manuel
dc.creatorCisneros-González,Darío
dc.creatorPompa-García,Marín
dc.creatorRodríguez-Trejo,Dante Arturo
dc.creatorPérez-Verdín,Gustavo
dc.date2017-01-01
dc.date.accessioned2019-06-12T02:00:58Z
dc.date.available2019-06-12T02:00:58Z
dc.identifierhttps://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0717-92002017000300014
dc.identifier.urihttps://bibliotecadigital.infor.cl/handle/20.500.12220/29087
dc.descriptionForest fires are a cause of global concern, which requires generating knowledge on their spatial behavior. By hypothesizing that the spatial pattern of forest fires across Mexico is randomly distributed, this study aimed at making an analysis of the distribution of forest fires (2005-2015) using remote sensing information and field data collected by CONAFOR (National Forest Commission) and MODIS (Moderate-Resolution Imaging Spectroradiometer). The study compared both sources of information through the G-statistic test that identified clustering patterns. The "hot spots" analysis identified clustered areas with significant values in both data sources. These zones were extended through Sierra Madre Occidental, Península de Yucatán, northern Sierra Madre Oriental and Península de Baja California. The highly coincidental clusters were found in the central-western region along the Eje Neovolcánico, as well as in a small part of Sierra Madre del Sur. The analysis of spatial correlation determined that both sources of information complement each other, enhancing their scope. It is concluded that forest fires in Mexico follow a spatial clustering trend.
dc.formattext/html
dc.languageen
dc.publisherUniversidad Austral de Chile, Facultad de Ciencias Forestales
dc.relation10.4067/S0717-92002017000300014
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceBosque (Valdivia) v.38 n.3 2017
dc.subjecthotspots
dc.subjectcluster-patterns
dc.subjectspatial-correlations
dc.subjectG statistics
dc.titleSpatial modeling of forest fires in Mexico: an integration of two data sources
dc.typeArtículo de revista


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