<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="ru">
<Esri>
<CreaDate>20220616</CreaDate>
<CreaTime>16281400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20220616" Time="162814" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Spatial Analyst Tools.tbx\PointDensity">PointDensity Количествонаселения_FeatureT1 obsh_kol C:\Users\User\Documents\ArcGIS\Projects\MyProject40\MyProject40.gdb\PointDe_Коли1 15 "Circle 550 MAP" "Квадратные километры"</Process>
</lineage>
<LayerFile>{"type":"CIMLayerDocument","version":"2.9.0","build":32739,"layers":["CIMPATH=_____/pointde_____1.xml"],"layerDefinitions":[{"type":"CIMRasterLayer","name":"PointDe_Коли1","uRI":"CIMPATH=_____/pointde_____1.xml","sourceModifiedTime":{"type":"TimeInstant"},"useSourceMetadata":true,"description":"PointDe_Коли1","layerElevation":{"type":"CIMLayerElevationSurface","mapElevationID":"{8D55CAB0-3150-4E24-BABA-B9A979C93D01}"},"expanded":true,"layerType":"Operational","showLegends":true,"visibility":true,"displayCacheType":"Permanent","maxDisplayCacheAge":5,"showPopups":true,"serviceLayerID":-1,"refreshRate":-1,"refreshRateUnit":"esriTimeUnitsSeconds","blendingMode":"Alpha","allowDrapingOnIntegratedMesh":true,"dataConnection":{"type":"CIMStandardDataConnection","workspaceConnectionString":"DATABASE=..\\..\\..\\..\\Documents\\ArcGIS\\Projects\\MyProject40\\MyProject40.gdb","workspaceFactory":"FileGDB","dataset":"PointDe_Коли1","datasetType":"esriDTRasterDataset"},"colorizer":{"type":"CIMRasterClassifyColorizer","resamplingType":"NearestNeighbor","normalizationType":"Nothing","classBreaks":[{"type":"CIMRasterClassBreak","upperBound":7478.86171875000036,"label":"0,001 - 7\u00A0478,862","color":{"type":"CIMRGBColor","values":[239,237,245,34]}},{"type":"CIMRasterClassBreak","upperBound":14957.7234375000007,"label":"7\u00A0478,863 - 14\u00A0957,723","color":{"type":"CIMRGBColor","values":[217.400000000000006,215.210000000000008,233.52000000000001,42.9500000000000028]}},{"type":"CIMRasterClassBreak","upperBound":22436.5851562500029,"label":"14\u00A0957,724 - 22\u00A0436,585","color":{"type":"CIMRGBColor","values":[195.800000000000011,193.41,222.039999999999992,51.8999999999999986]}},{"type":"CIMRasterClassBreak","upperBound":29915.4468750000015,"label":"22\u00A0436,586 - 29\u00A0915,447","color":{"type":"CIMRGBColor","values":[174.199999999999989,171.62,210.56,60.8500000000000014]}},{"type":"CIMRasterClassBreak","upperBound":37394.30859375,"label":"29\u00A0915,448 - 37\u00A0394,309","color":{"type":"CIMRGBColor","values":[152.599999999999994,149.819999999999993,199.080000000000013,69.7999999999999972]}},{"type":"CIMRasterClassBreak","upperBound":44873.1703124999985,"label":"37\u00A0394,31 - 44\u00A0873,17","color":{"type":"CIMRGBColor","values":[131,128.03,187.599999999999994,78.7600000000000051]}},{"type":"CIMRasterClassBreak","upperBound":52352.0320312499971,"label":"44\u00A0873,171 - 52\u00A0352,032","color":{"type":"CIMRGBColor","values":[113.28,95.5600000000000023,170.610000000000014,93.3799999999999955]}},{"type":"CIMRasterClassBreak","upperBound":59830.8937499999956,"label":"52\u00A0352,033 - 59\u00A0830,894","color":{"type":"CIMRGBColor","values":[96.1899999999999977,62.2700000000000031,154.080000000000013,100]}},{"type":"CIMRasterClassBreak","upperBound":67309.7554687499942,"label":"59\u00A0830,895 - 67\u00A0309,755","color":{"type":"CIMRGBColor","values":[79.3199999999999932,30.3000000000000007,138.97999999999999,100]}},{"type":"CIMRasterClassBreak","upperBound":74788.6171875,"label":"67\u00A0309,756 - 74\u00A0788,617","color":{"type":"CIMRGBColor","values":[63,0,125,100]}}],"classificationMethod":"EqualInterval","colorRamp":{"type":"CIMMultipartColorRamp","colorRamps":[{"type":"CIMLinearContinuousColorRamp","colorSpace":{"type":"CIMICCColorSpace","url":"CIELAB"},"fromColor":{"type":"CIMRGBColor","values":[239,237,245,34]},"toColor":{"type":"CIMRGBColor","values":[128,125,186,80]}},{"type":"CIMLinearContinuousColorRamp","colorSpace":{"type":"CIMICCColorSpace","url":"CIELAB"},"fromColor":{"type":"CIMRGBColor","values":[128,125,186,80]},"toColor":{"type":"CIMRGBColor","values":[106,81,163,100]}},{"type":"CIMLinearContinuousColorRamp","colorSpace":{"type":"CIMICCColorSpace","url":"CIELAB"},"fromColor":{"type":"CIMRGBColor","values":[106,81,163,100]},"toColor":{"type":"CIMRGBColor","values":[84,39,143,100]}},{"type":"CIMLinearContinuousColorRamp","colorSpace":{"type":"CIMICCColorSpace","url":"CIELAB"},"fromColor":{"type":"CIMRGBColor","values":[84,39,143,100]},"toColor":{"type":"CIMRGBColor","values":[63,0,125,100]}}],"weights":[57.1000000000000014,14.3000000000000007,14.3000000000000007,14.3000000000000007]},"exclusionLabel":"0","exclusionValues":[0],"field":"VALUE","hillshadeZFactor":1,"showInAscendingOrder":true}}]}</LayerFile>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>raster</keyword>
</searchKeys>
<idPurp>Плотность населения НурСултан</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Плотность населения НурСултан</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
