TY - JOUR
T1 - Spatial modeling of forest fires in Mexico
T2 - An integration of two data sources
AU - Zúñiga-Vásquez, José Manuel
AU - Cisneros-González, Darío
AU - Pompa-García, Marín
AU - Rodríguez-Trejo, Dante Arturo
AU - Pérez-Verdín, Gustavo
N1 - Publisher Copyright:
© 2017, Universidad Austral de Chile. All rights reserved.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Cluster-patterns
KW - G statistics
KW - Hotspots
KW - Spatial-correlations
UR - http://www.scopus.com/inward/record.url?scp=85042741477&partnerID=8YFLogxK
U2 - 10.4067/S0717-92002017000300014
DO - 10.4067/S0717-92002017000300014
M3 - Artículo
SN - 0304-8799
VL - 38
SP - 563
EP - 574
JO - Bosque
JF - Bosque
IS - 3
ER -