<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220401</CreaDate>
<CreaTime>14072100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>sintesisocupacion</resTitle>
</idCitation>
<searchKeys>
<keyword>Síntesis</keyword>
<keyword>Ocupación</keyword>
<keyword>Ordenamiento</keyword>
<keyword>Municipio</keyword>
<keyword>IGAC</keyword>
</searchKeys>
<idPurp>Contiene los principales patrones de ocupación en los cuales se relaciona las áreas de mayor concentración o dispersión de la población, el patrón espacial de...</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;P&gt;&lt;SPAN&gt;Contiene los principales patrones de ocupación en los cuales se relaciona las áreas de mayor concentración o dispersión de la población, el patrón espacial de la propiedad según su tamaño, la presencia de actividades productivas o de áreas de especial importancia ambiental. Adicionalmente, el mapa incluye la identificación de las presiones ejercidas tanto por la intervención antrópica sobre áreas estratégicas, como la ejercida por otros fenómenos relacionados con factores de seguridad.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Instituto Geográfico Agustín Codazzi – IGAC</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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=</Data>
</Thumbnail>
</Binary>
</metadata>
