<?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>2663-3981</journal-id>
<journal-title><![CDATA[Revista cartográfica]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. cartogr.]]></abbrev-journal-title>
<issn>2663-3981</issn>
<publisher>
<publisher-name><![CDATA[Instituto Panamericano de Geografía e Historia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2663-39812024000100117</article-id>
<article-id pub-id-type="doi">10.35424/rcarto.i108.4894</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Comparación entre los métodos Mora-Vahrson y Lógica difusa en la susceptibilidad a movimientos de tierra en el cantón Morona-Amazonía ecuatoriana]]></article-title>
<article-title xml:lang="en"><![CDATA[Comparison between the Mora-Vahrson and Fuzzy Logic methods to landslides in the Morona canton-Ecuadorian Amazon]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Palacios Orejuela]]></surname>
<given-names><![CDATA[Iván Fernando]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de las Fuerzas Armadas ESPE Departamento de Ciencias de la Tierra y la Construcción Dirección de Planificación, GAD Municipal del Cantón Morona]]></institution>
<addr-line><![CDATA[Macas ]]></addr-line>
<country>Ecuador</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2024</year>
</pub-date>
<numero>108</numero>
<fpage>117</fpage>
<lpage>135</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2663-39812024000100117&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2663-39812024000100117&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2663-39812024000100117&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Los deslizamientos representan aproximadamente el 17% del total de muertes provocadas por riesgos naturales a nivel mundial, y debido a los efectos del cambio climático, se pronostica que las pérdidas humanas y económicas no disminuirán. Existen varias metodologías para mapear la susceptibilidad a deslizamientos, entre las que se encuentran Mora-Vahrson y Lógica difusa. Ecuador es un país tropical que ha sufrido varios desastres naturales, el más reciente fue un deslizamiento sucedido en el cantón de Alausí donde murieron al menos 65 personas. Sin embargo, todavía persisten zonas poco estudiadas sobre este fenómeno, como la Amazonía ecuatoriana, en la que se toma al cantón Morona para el presente estudio. El objetivo principal fue generar un modelo de susceptibilidad a deslizamientos mediante Lógica difusa y Mora-Vahrson para determinar el método que mejor se ajuste a su realidad geográfica. Los modelos resultantes fueron clasificados en cinco niveles de riesgo, donde la validación mediante el coeficiente de contingencia corregido fue de 0.894 para Fuzzy frente al 0.866 de Mora-Vahrson, por lo que en este estudio el método probabilístico fue más preciso que el método semianalítico heurístico. El cotejamiento entre modelos determinó que varias parroquias presentaron mayor susceptibilidad, pero con el modelamiento probabilístico difuso se logró identificar más detalladamente el nivel de riesgo a equipamientos presente en el territorio. Esta ventaja puede deberse a la forma de trabajar con variables físicas continuas que son utilizadas en cada método y que inciden en la precisión de los resultados, por lo que para fines de gestión de riesgos y planificación es recomendable utilizar metodologías probabilísticas como Lógica difusa.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Landslides represent approximately 17% of total deaths caused by natural hazards worldwide, and due to the effects of climate change, it is forecasted that human and economic losses will not decrease. There are several methodologies for mapping landslide susceptibility, including Mora-Vahrson and Fuzzy Logic. Ecuador is a tropical country that has experienced several natural disasters, the most recent being a landslide in the Alausí canton where at least 65 people died. However, there are still poorly studied areas regarding this phenomenon, such as the Ecuadorian Amazon, where the Morona canton is chosen for the present study. The main objective was to generate a landslide susceptibility model using Fuzzy Logic and Mora-Vahrson to determine which method best fits its geographic reality. The resulting models were classified into five levels of risk, where validation using the corrected contingency coefficient was 0.894 for Fuzzy compared to 0.866 for Mora-Vahrson, making the probabilistic method more accurate than the heuristic semi-analytical method in this study. Model comparison determined that several parishes showed higher susceptibility, but with the fuzzy probabilistic modeling, the level of risk to facilities in the territory was more precisely identified. This advantage may be due to the way of working with continuous physical variables used in each method, which affect the accuracy of the results, so for risk management and planning purposes it is recommended to use probabilistic methodologies such as Fuzzy Logic.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[cambio climático]]></kwd>
<kwd lng="es"><![CDATA[deslizamientos]]></kwd>
<kwd lng="es"><![CDATA[Mora-Vahrson]]></kwd>
<kwd lng="es"><![CDATA[Lógica difusa]]></kwd>
<kwd lng="es"><![CDATA[modelamiento probabilístico]]></kwd>
<kwd lng="en"><![CDATA[climate change]]></kwd>
<kwd lng="en"><![CDATA[landslides]]></kwd>
<kwd lng="en"><![CDATA[Mora-Vahrson]]></kwd>
<kwd lng="en"><![CDATA[Fuzzy Logic]]></kwd>
<kwd lng="en"><![CDATA[probabilistic modeling]]></kwd>
</kwd-group>
</article-meta>
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