<?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>0186-7210</journal-id>
<journal-title><![CDATA[Estudios demográficos y urbanos]]></journal-title>
<abbrev-journal-title><![CDATA[Estud. demogr. urbanos]]></abbrev-journal-title>
<issn>0186-7210</issn>
<publisher>
<publisher-name><![CDATA[El Colegio de México A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0186-72102021000301035</article-id>
<article-id pub-id-type="doi">10.24201/edu.v36i3.2008</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[El Índice de Sociedad Sostenible (SSI) en América: análisis desde una perspectiva de Biplot dinámico]]></article-title>
<article-title xml:lang="en"><![CDATA[The Sustainable Society Index (SSI) in América: Analysis from a dynamic Biplot perspective]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hoz Maestre]]></surname>
<given-names><![CDATA[Javier De La]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Montes Escobar]]></surname>
<given-names><![CDATA[Karime]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Salas Macías]]></surname>
<given-names><![CDATA[Carlos]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad del Magdalena Facultad de Ingeniería ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Técnica de Manabí  ]]></institution>
<addr-line><![CDATA[Manabí ]]></addr-line>
<country>Ecuador</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Técnica de Manabí Facultad de Ingeniería Agronómica ]]></institution>
<addr-line><![CDATA[Manabí ]]></addr-line>
<country>Ecuador</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<volume>36</volume>
<numero>3</numero>
<fpage>1035</fpage>
<lpage>1061</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0186-72102021000301035&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0186-72102021000301035&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0186-72102021000301035&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Este estudio presenta un análisis mediante Biplot dinámico del Índice de Sociedad Sostenible aplicado a América. Los principales resultados al analizar las trayectorias de las variables en general son cortos, pero tienden a mejorar. Se observaron dos grupos: uno de países bien posicionados frente a las variables &#8220;necesidades básicas&#8221; y &#8220;desarrollo personal y social&#8221; (Norteamérica), y el segundo, de países con trayectorias de comportamiento irregular, con poca estabilidad y con una tendencia de caída en los últimos periodos en análisis (Centro, Sudamérica y Caribe). El método Biplot dinámico demuestra ser un nuevo enfoque para el procesamiento de datos de tres vías y provee resultados fáciles de representar e interpretar.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This study presents a dynamic Biplot analysis of the Sustainable Society Index applied to the American continent. The main results when analyzing the trajectories of the variables in general are short and tend to improve. Two groups were observed: the first joins countries well positioned against the variables &#8220;basic needs&#8221; and &#8220;personal and social development&#8221; (North America), and the second puts together countries with irregular behavior trajectories, with little stability and with a tendency to fall in the last periods in analysis (Central, South America and the Caribbean). The Dynamic Biplot method proves to be a new approach to three-way data processing and provides results that are easy to represent and interpret.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[análisis multivariante]]></kwd>
<kwd lng="es"><![CDATA[sostenibilidad]]></kwd>
<kwd lng="es"><![CDATA[Biplot]]></kwd>
<kwd lng="es"><![CDATA[indicadores de desarrollo sostenible]]></kwd>
<kwd lng="es"><![CDATA[estadística multivariante]]></kwd>
<kwd lng="en"><![CDATA[multivariate analysis]]></kwd>
<kwd lng="en"><![CDATA[sustainability]]></kwd>
<kwd lng="en"><![CDATA[Biplot]]></kwd>
<kwd lng="en"><![CDATA[sustainable development indicators]]></kwd>
<kwd lng="en"><![CDATA[multivariate statistics]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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