Spatial modeling of forest fires in Mexico: an integration of two data sources

Forest 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 rem...

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Autores principales:	Zúñiga-Vásquez,José Manuel, Cisneros-González,Darío, Pompa-García,Marín, Rodríguez-Trejo,Dante Arturo, Pérez-Verdín,Gustavo
Lenguaje:	English
Publicado:	Universidad Austral de Chile, Facultad de Ciencias Forestales 2017
Materias:	hotspots cluster-patterns spatial-correlations G statistics
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002017000300014
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spelling	oai:scielo:S0717-920020170003000142018-03-01Spatial modeling of forest fires in Mexico: an integration of two data sourcesZúñiga-Vásquez,José ManuelCisneros-González,DaríoPompa-García,MarínRodríguez-Trejo,Dante ArturoPérez-Verdín,Gustavo hotspots cluster-patterns spatial-correlations G statistics Forest 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.info:eu-repo/semantics/openAccessUniversidad Austral de Chile, Facultad de Ciencias ForestalesBosque (Valdivia) v.38 n.3 20172017-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002017000300014en10.4067/S0717-92002017000300014
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	hotspots cluster-patterns spatial-correlations G statistics
spellingShingle	hotspots cluster-patterns spatial-correlations G statistics Zúñiga-Vásquez,José Manuel Cisneros-González,Darío Pompa-García,Marín Rodríguez-Trejo,Dante Arturo Pérez-Verdín,Gustavo Spatial modeling of forest fires in Mexico: an integration of two data sources
description	Forest 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.
author	Zúñiga-Vásquez,José Manuel Cisneros-González,Darío Pompa-García,Marín Rodríguez-Trejo,Dante Arturo Pérez-Verdín,Gustavo
author_facet	Zúñiga-Vásquez,José Manuel Cisneros-González,Darío Pompa-García,Marín Rodríguez-Trejo,Dante Arturo Pérez-Verdín,Gustavo
author_sort	Zúñiga-Vásquez,José Manuel
title	Spatial modeling of forest fires in Mexico: an integration of two data sources
title_short	Spatial modeling of forest fires in Mexico: an integration of two data sources
title_full	Spatial modeling of forest fires in Mexico: an integration of two data sources
title_fullStr	Spatial modeling of forest fires in Mexico: an integration of two data sources
title_full_unstemmed	Spatial modeling of forest fires in Mexico: an integration of two data sources
title_sort	spatial modeling of forest fires in mexico: an integration of two data sources
publisher	Universidad Austral de Chile, Facultad de Ciencias Forestales
publishDate	2017
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002017000300014
work_keys_str_mv	AT zunigavasquezjosemanuel spatialmodelingofforestfiresinmexicoanintegrationoftwodatasources AT cisnerosgonzalezdario spatialmodelingofforestfiresinmexicoanintegrationoftwodatasources AT pompagarciamarin spatialmodelingofforestfiresinmexicoanintegrationoftwodatasources AT rodrigueztrejodantearturo spatialmodelingofforestfiresinmexicoanintegrationoftwodatasources AT perezverdingustavo spatialmodelingofforestfiresinmexicoanintegrationoftwodatasources
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Spatial modeling of forest fires in Mexico: an integration of two data sources

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