<?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>2184-7770</journal-id>
<journal-title><![CDATA[New Trends in Qualitative Research]]></journal-title>
<abbrev-journal-title><![CDATA[NTQR]]></abbrev-journal-title>
<issn>2184-7770</issn>
<publisher>
<publisher-name><![CDATA[Ludomedia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2184-77702021000400344</article-id>
<article-id pub-id-type="doi">10.36367/ntqr.9.2021.344-354</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Análisis perceptivo de la infraestructura verde urbana en Madrid a partir del Software NVIVO]]></article-title>
<article-title xml:lang="en"><![CDATA[Perceptual Analysis of the Urban Green Infrastructure in Madrid Using NVIVO Software]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Muro]]></surname>
<given-names><![CDATA[Rocío Santo-Tomás]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Romero]]></surname>
<given-names><![CDATA[Eva J. Rodríguez]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Granados]]></surname>
<given-names><![CDATA[Carlota Sáenz de Tejada]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad San Pablo CEU-CEU Universities Departamento de Arquitectura y diseño Escuela Politécnica Superior]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>España</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Barcelona Institute for Global Health (ISGlobal) CREA  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>España</country>
</aff>
<pub-date pub-type="pub">
<day>30</day>
<month>06</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>30</day>
<month>06</month>
<year>2021</year>
</pub-date>
<volume>9</volume>
<fpage>344</fpage>
<lpage>354</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_arttext&amp;pid=S2184-77702021000400344&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_abstract&amp;pid=S2184-77702021000400344&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_pdf&amp;pid=S2184-77702021000400344&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: Introducción El estudio del paisaje en general, y de las infraestructuras verdes en particular, es especialmente complejo, principalmente para atender a los aspectos perceptivos que exige toda caracterización. El uso de un análisis cualitativo para el estudio de la percepción en los casos de estudio permite profundizar en los detalles y matices que surgen al analizar lo que la literatura ha denominado la visión «no experta» del paisaje Objetivos; Métodos Para este análisis de la percepción de la infraestructura verde urbana se utiliza una metodología cualitativa, apoyada en el software NVIVO. El software se usa para codificar las respuestas de una serie de entrevistas semiestructuradas que se realizan en los casos de estudio; parques metropolitanos del contorno de la ciudad de Madrid, que permita estudiar su percepción. Para la codificación, se hace un proceso de &#8220;decantación&#8221;: se empieza por una codificación abierta, se pasa a una codificación axial, para terminar con una codificación selectiva, creando así una jerarquía entre los principales conceptos (denominados &#8220;nodos&#8221;) que surgen a lo largo de las entrevistas Resultados Conclusiones El análisis metodológico propuesto tiene como objetivo entender la percepción de los elementos que forman parte de la red de infraestructura verde del contorno de Madrid. Los resultados obtenidos demuestran que estas técnicas de entrevista aportan resultados significativos con una muestra relativamente pequeña de entrevistas. Tras el desarrollo de esta investigación, se ha optado por el uso de esta nomenclatura: «técnica» y «cotidiana» para referirnos a las miradas al paisaje. Así, se ahonda en el sentido del lugar, la conectividad, multifuncionalidad y accesibilidad de la infraestructura verde urbana o en la imagen de la ciudad.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: The study of landscape in general, and green infrastructure in particular, is particularly complex, mainly to address the perceptual aspects required for any characterization. The use of a qualitative analysis for the study of perception in the case studies allows us to delve into the details and nuances that arise when analyzing what the literature has referred to as the "non-expert" view of the landscape Goals; Methods In order to analyse the perception of urban green infrastructure, we use a qualitative methodology, supported by NVIVO software. The software is used to code the responses of a series of semi-structured interviews conducted in the case studies; metropolitan parks in the outskirts of the city of Madrid, to study their perception. For coding, a "decantation" process is used: starting with an open coding, followed by an axial coding, and ending with a selective coding, thus creating a hierarchy among the main concepts (called "nodes") that emerge during the interviews. Results (The proposed methodological analysis aims to understand the perception of the elements that are part of the green infrastructure network around Madrid. The results obtained show that these interview techniques provide significant results with a relatively small sample of interviews. After the development of this research, we have opted for the use of this nomenclature: "technical" and "everyday" to refer to the views to the landscape. Thus, we delve into the sense of place, connectivity, multifunctionality and accessibility of urban green infrastructure or the image of the city.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Percepción del Paisaje]]></kwd>
<kwd lng="es"><![CDATA[Infraestructura Verde Urbana]]></kwd>
<kwd lng="es"><![CDATA[Madrid]]></kwd>
<kwd lng="es"><![CDATA[NVIVO]]></kwd>
<kwd lng="es"><![CDATA[Investigación Cualitativa.]]></kwd>
<kwd lng="en"><![CDATA[Landscape Perception]]></kwd>
<kwd lng="en"><![CDATA[Urban Green Infrastructure]]></kwd>
<kwd lng="en"><![CDATA[Madrid]]></kwd>
<kwd lng="en"><![CDATA[NVIVO]]></kwd>
<kwd lng="en"><![CDATA[Qualitative Research.]]></kwd>
</kwd-group>
</article-meta>
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<article-title xml:lang=""><![CDATA[Landscape perception: Research, application and theory]]></article-title>
<source><![CDATA[Landscape Planning]]></source>
<year>1982</year>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
