<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2007-4018</journal-id>
<journal-title><![CDATA[Revista Chapingo serie ciencias forestales y del ambiente]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Chapingo ser. cienc. for. ambient]]></abbrev-journal-title>
<issn>2007-4018</issn>
<publisher>
<publisher-name><![CDATA[Universidad Autónoma Chapingo, Coordinación de Revistas Institucionales]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-40182018000300313</article-id>
<article-id pub-id-type="doi">10.5154/r.rchscfa.2017.12.074</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Bandwidth selection for kernel density estimation of forest fires]]></article-title>
<article-title xml:lang="es"><![CDATA[Selección de ancho de banda para la estimación de densidad kernel de incendios forestales]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Flores-Garnica]]></surname>
<given-names><![CDATA[José G.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Macías-Muro]]></surname>
<given-names><![CDATA[Alejandra]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias  ]]></institution>
<addr-line><![CDATA[Guadalajara Jalisco]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Guadalajara Centro Universitario de Ciencias Biológicas y Agropecuarias ]]></institution>
<addr-line><![CDATA[Zapopan Jalisco]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2018</year>
</pub-date>
<volume>24</volume>
<numero>3</numero>
<fpage>313</fpage>
<lpage>327</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-40182018000300313&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-40182018000300313&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-40182018000300313&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Introduction:  The mapping of areas with higher forest fire density can be developed through kernel density estimation, which requires the selection of a function and bandwidth (h). The h value, when defined by subjective (visual) processes, will depend on the knowledge and experience of the person making the selection.  Objective:  To propose a statistical alternative, based on forest fires information (2005-2013) from Jalisco, Mexico, for the selection of h as support for kernel density estimation.  Materials and methods:  A total of 13 h values were defined using seven techniques. The h value was selected using the following statistics: root mean square error, root mean integrated squared error, coefficient of variation and comparative percentage.  Results and discussion:  The h values obtained with the techniques analyzed were between 2 550 and 41 906 m. There was great variation in the results; the range between the maximum and the minimum value was 39 356.34 m with an average of 10 936.74 ± 9 955.04 m. The above implies that there is no single and universal process for all cases. According to the validation criteria, the statistically most adequate h value is between 5 300 and 5 900 m; the closest result was obtained with the mean random distance technique (5 395 m).  Conclusion:  It is possible to select h under a practical statistical perspective, avoiding the use of subjective criteria.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Introducción:  La cartografía de áreas con mayor densidad de incendios forestales puede desarrollarse a través de la estimación de densidad kernel, la cual requiere la selección de una función y un ancho de banda (h). El valor h, cuando se define mediante procesos subjetivos (visuales), dependerá del conocimiento y experiencia del seleccionador.  Objetivo:  Proponer una alternativa estadística, basada en información de incendios forestales (2005-2013) del estado de Jalisco, México, para la selección de h como soporte en la estimación de la densidad kernel.  Materiales y métodos:  A través de siete técnicas se definieron 13 valores de h. El valor de h se seleccionó usando los estadísticos siguientes: raíz del error cuadrático medio, raíz del error medio cuadrático integrado, coeficiente de variación y porcentaje comparativo.  Resultados y discusión:  Los valores h obtenidos con las técnicas probadas se encontraron entre 2 550 y 41 906 m. Hubo gran variación en los resultados; el rango entre el valor máximo y el mínimo fue 39 356.34 m con una media de 10 936.74 ± 9 955.04 m. Lo anterior implica que no existe un proceso único y universal para todos los casos. De acuerdo con los criterios de validación, el valor de h estadísticamente más adecuado se encuentra entre 5 300 y 5 900 m; el resultado más cercano se obtuvo con la técnica distancia aleatoria media (5 395 m).  Conclusión:  Es posible seleccionar h bajo una perspectiva estadística práctica, evitando el uso de criterios subjetivos.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Fire density]]></kwd>
<kwd lng="en"><![CDATA[search area]]></kwd>
<kwd lng="en"><![CDATA[continuous surfaces]]></kwd>
<kwd lng="en"><![CDATA[mean random distance]]></kwd>
<kwd lng="en"><![CDATA[mapping of areas]]></kwd>
<kwd lng="es"><![CDATA[Densidad de incendios]]></kwd>
<kwd lng="es"><![CDATA[radio de búsqueda]]></kwd>
<kwd lng="es"><![CDATA[superficies continuas]]></kwd>
<kwd lng="es"><![CDATA[distancia aleatoria media]]></kwd>
<kwd lng="es"><![CDATA[cartografía de áreas]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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