20190713
16492800
1.0
FALSE
Building_Footprints
002
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_StatePlane_Maryland_FIPS_1900
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.7.0'><WKT>PROJCS["NAD_1983_StatePlane_Maryland_FIPS_1900",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-77.0],PARAMETER["Standard_Parallel_1",38.3],PARAMETER["Standard_Parallel_2",39.45],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Meter",1.0],AUTHORITY["EPSG",26985]]</WKT><XOrigin>-36747100</XOrigin><YOrigin>-29091500</YOrigin><XYScale>9999.9995250255088</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0010000000000078861</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26985</WKID><LatestWKID>26985</LatestWKID></ProjectedCoordinateSystem>
{"type":"CIMLayerDocument","version":"2.7.0","build":26828,"layers":["CIMPATH=map/building_footprints.xml"],"layerDefinitions":[{"type":"CIMFeatureLayer","name":"Building_Footprints","uRI":"CIMPATH=map/building_footprints.xml","sourceModifiedTime":{"type":"TimeInstant"},"useSourceMetadata":true,"description":"Building_Footprints","layerElevation":{"type":"CIMLayerElevationSurface","mapElevationID":"{A3957AB3-D999-4E83-9061-0A7B271B16C8}"},"expanded":true,"layerType":"Operational","showLegends":true,"visibility":true,"displayCacheType":"Permanent","maxDisplayCacheAge":5,"showPopups":true,"serviceLayerID":-1,"refreshRate":-1,"refreshRateUnit":"esriTimeUnitsSeconds","blendingMode":"Alpha","autoGenerateFeatureTemplates":true,"featureElevationExpression":"0","featureTable":{"type":"CIMFeatureTable","displayField":"Building_ID","editable":true,"dataConnection":{"type":"CIMStandardDataConnection","workspaceConnectionString":"DATABASE=..Lab3_Part2.gdb","workspaceFactory":"FileGDB","dataset":"Building_Footprints","datasetType":"esriDTFeatureClass"},"studyAreaSpatialRel":"esriSpatialRelUndefined","searchOrder":"esriSearchOrderSpatial"},"htmlPopupEnabled":true,"selectable":true,"featureCacheType":"Session","displayFiltersType":"ByScale","featureBlendingMode":"Alpha","labelClasses":[{"type":"CIMLabelClass","expressionTitle":"Custom","expression":"$feature.Building_ID","expressionEngine":"Arcade","featuresToLabel":"AllVisibleFeatures","maplexLabelPlacementProperties":{"type":"CIMMaplexLabelPlacementProperties","featureType":"Polygon","avoidPolygonHoles":true,"canOverrunFeature":true,"canPlaceLabelOutsidePolygon":true,"canRemoveOverlappingLabel":true,"canStackLabel":true,"connectionType":"Unambiguous","constrainOffset":"NoConstraint","contourAlignmentType":"Page","contourLadderType":"Straight","contourMaximumAngle":90,"enableConnection":true,"featureWeight":0,"fontHeightReductionLimit":4,"fontHeightReductionStep":0.5,"fontWidthReductionLimit":90,"fontWidthReductionStep":5,"graticuleAlignmentType":"Straight","keyNumberGroupName":"Default","labelBuffer":15,"labelLargestPolygon":true,"labelPriority":-1,"labelStackingProperties":{"type":"CIMMaplexLabelStackingProperties","stackAlignment":"ChooseBest","maximumNumberOfLines":3,"minimumNumberOfCharsPerLine":3,"maximumNumberOfCharsPerLine":24,"separators":[{"type":"CIMMaplexStackingSeparator","separator":"
","splitAfter":true},{"type":"CIMMaplexStackingSeparator","separator":",","visible":true,"splitAfter":true}]},"lineFeatureType":"General","linePlacementMethod":"OffsetCurvedFromLine","maximumLabelOverrun":80,"maximumLabelOverrunUnit":"Point","minimumFeatureSizeUnit":"Map","multiPartOption":"OneLabelPerPart","offsetAlongLineProperties":{"type":"CIMMaplexOffsetAlongLineProperties","placementMethod":"BestPositionAlongLine","labelAnchorPoint":"CenterOfLabel","distanceUnit":"Percentage","useLineDirection":true},"pointExternalZonePriorities":{"type":"CIMMaplexExternalZonePriorities","aboveLeft":4,"aboveCenter":2,"aboveRight":1,"centerRight":3,"belowRight":5,"belowCenter":7,"belowLeft":8,"centerLeft":6},"pointPlacementMethod":"AroundPoint","polygonAnchorPointType":"GeometricCenter","polygonBoundaryWeight":0,"polygonExternalZones":{"type":"CIMMaplexExternalZonePriorities","aboveLeft":4,"aboveCenter":2,"aboveRight":1,"centerRight":3,"belowRight":5,"belowCenter":7,"belowLeft":8,"centerLeft":6},"polygonFeatureType":"General","polygonInternalZones":{"type":"CIMMaplexInternalZonePriorities","center":1},"polygonPlacementMethod":"HorizontalInPolygon","primaryOffset":1,"primaryOffsetUnit":"Point","removeExtraWhiteSpace":true,"repetitionIntervalUnit":"Point","rotationProperties":{"type":"CIMMaplexRotationProperties","rotationType":"Arithmetic","alignmentType":"Straight"},"secondaryOffset":100,"strategyPriorities":{"type":"CIMMaplexStrategyPriorities","stacking":1,"overrun":2,"fontCompression":3,"fontReduction":4,"abbreviation":5},"thinningDistanceUnit":"Point","truncationMarkerCharacter":".","truncationMinimumLength":1,"truncationPreferredCharacters":"aeiou","truncationExcludedCharacters":"0123456789","polygonAnchorPointPerimeterInsetUnit":"Point"},"name":"Class 1","priority":-1,"standardLabelPlacementProperties":{"type":"CIMStandardLabelPlacementProperties","featureType":"Line","featureWeight":"None","labelWeight":"High","numLabelsOption":"OneLabelPerName","lineLabelPosition":{"type":"CIMStandardLineLabelPosition","above":true,"inLine":true,"parallel":true},"lineLabelPriorities":{"type":"CIMStandardLineLabelPriorities","aboveStart":3,"aboveAlong":3,"aboveEnd":3,"centerStart":3,"centerAlong":3,"centerEnd":3,"belowStart":3,"belowAlong":3,"belowEnd":3},"pointPlacementMethod":"AroundPoint","pointPlacementPriorities":{"type":"CIMStandardPointPlacementPriorities","aboveLeft":2,"aboveCenter":2,"aboveRight":1,"centerLeft":3,"centerRight":2,"belowLeft":3,"belowCenter":3,"belowRight":2},"rotationType":"Arithmetic","polygonPlacementMethod":"AlwaysHorizontal"},"textSymbol":{"type":"CIMSymbolReference","symbol":{"type":"CIMTextSymbol","blockProgression":"TTB","depth3D":1,"extrapolateBaselines":true,"fontEffects":"Normal","fontEncoding":"Unicode","fontFamilyName":"Tahoma","fontStyleName":"Regular","fontType":"Unspecified","haloSize":1,"height":10,"hinting":"Default","horizontalAlignment":"Left","kerning":true,"letterWidth":100,"ligatures":true,"lineGapType":"ExtraLeading","symbol":{"type":"CIMPolygonSymbol","symbolLayers":[{"type":"CIMSolidFill","enable":true,"color":{"type":"CIMRGBColor","values":[0,0,0,100]}}]},"textCase":"Normal","textDirection":"LTR","verticalAlignment":"Bottom","verticalGlyphOrientation":"Right","wordSpacing":100,"billboardMode3D":"FaceNearPlane"}},"useCodedValue":true,"visibility":true,"iD":-1}],"renderer":{"type":"CIMSimpleRenderer","patch":"Default","symbol":{"type":"CIMSymbolReference","symbol":{"type":"CIMPolygonSymbol","symbolLayers":[{"type":"CIMSolidStroke","enable":true,"capStyle":"Round","joinStyle":"Round","lineStyle3D":"Strip","miterLimit":10,"width":2,"color":{"type":"CIMRGBColor","values":[0,92,230,100]}},{"type":"CIMSolidFill","enable":true,"color":{"type":"CIMRGBColor","values":[130,130,130,0]}}]}}},"scaleSymbols":true,"snappable":true}]}
20210228
10471200
20210228
10471200
Esri ArcGIS 12.7.0.26828
Building_Footprints
Solar Panels
GeoComputation
Aspect
Slope
Area_Sol
Using ModelBuilder and Zonal Statistics tools to determine buildings with suitability for solar panels.
File Geodatabase Feature Class
dataset
EPSG
4.5(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
Building_Footprints
Feature Class
0
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Building_ID
Building_ID
Integer
4
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20210228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