<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20201221</CreaDate>
<CreaTime>23192700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20201221" Time="231927" ToolSource="C:\Users\K\AppData\Local\ESRI\ArcGISPro\AssemblyCache\{fc2a6931-4585-4ab2-9df0-13da2e49109c}\src\crimeanalysis\esri\toolboxes\CrimeAnalysisTools.pyt\DensityChange">DensityChange Robberies_CurrentYTD_Density Robberies_PreviousYTD_Density "D:\Customer Success\Workshop\CrimeAnalysis_ZonaCentro_CDMX\CrimeAnalysis_RobosConViolencia_ZonaCentro_CDMX\CrimeAnalysis_RobosConViolencia_ZonaCentro_CDMX.gdb\Robberies_YTD_DensityChange"</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>CDMX</keyword>
<keyword>zona centro</keyword>
<keyword>Seguridad pública</keyword>
<keyword>Análisis de delitos</keyword>
</searchKeys>
<idPurp>Cambio en la densidad de robos a mano armada en el acumulado anual.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Robberies_YTD_DensityChange</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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=</Data>
</Thumbnail>
</Binary>
</metadata>
