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The goal: To create a Google Earth KML that has polygons that when clicked on display all the attributes of the points contained within them. The process: Did a spatial join on the polygon layer and the point layer as a Join-One-To-Many. This provided multiple polygons that overlapped one another (one for each point). The issue: When I exported to KML, the only polygon I could click on was the top-most one. This meant I could only see the attributes of the point that was joined to the top-most polygon. My question: Is there a way to perform a spatial join on a polygon and point layer so that when I export to KML, when I click on a polygon, it will display the attributes of all of the points that are within that polygon (after they have been spatially joined)?
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08-29-2014
08:56 AM
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Thanks Lauren, that's exactly the tool I was looking for. I have one question though. When I run the integrate, it asks for XY tolerance in meters. If I were to enter 10 meters, let's say, how does the tool incorporate that into the results. In other words, how exactly does this tool work? Thanks. Matt
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03-23-2011
10:57 AM
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I have a collection of points and would like to run a Collect Events script on them to determine what the most frequent points in the data are. The points have been imported using XY Data, and due to some variance in the data, there are slight differences in the lat and long of points that are at the same location. For example, the points are all at a park, but the points within the park are all different due to these slight variations. I need a way to combine the points that are close to one another into a common point so that I can run the Collect Events script. Anyone know how I can do this?
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03-17-2011
05:43 AM
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I have the following script that runs without errors, but fails to produce an output raster that is added to the display. Any idea why this is happening?: #Import arcpy module
import arcpy
# Script arguments
wksp = arcpy.GetParameterAsText(0)
DEM_Dataset = arcpy.GetParameterAsText(1)
Landuse_Data = arcpy.GetParameterAsText(2)
Output = arcpy.GetParameterAsText(3)
arcpy.env.workspace = wksp
# Check out any necessary licenses
arcpy.CheckOutExtension("spatial")
arcpy.env.overwriteOutput=True
# Local variables:
Slope_Output = "DEM_Dataset"
Slope_Reclass_Output = "Slope_Output"
Aspect_Output = "DEM_Dataset2"
Aspect_Reclass_Output = "Aspect_Output"
Landuse_Reclass = "Landuse_Data"
# Process: Aspect
arcpy.gp.Aspect_sa(DEM_Dataset, Aspect_Output)
# Process: Aspect Reclass
arcpy.gp.Reclassify_sa(Aspect_Output, "Value", "-1 0 3;45 135 2;135 225 3;225 315 2;315 360 1", Aspect_Reclass_Output, "DATA")
# Process: Slope
arcpy.gp.Slope_sa(DEM_Dataset, Slope_Output, "DEGREE", "1")
# Process: Slope Reclass
arcpy.gp.Reclassify_sa(Slope_Output, "Value", "0 3 3;3 6 2;6 90 1", Slope_Reclass_Output, "DATA")
# Process: Reclassify Landuse
arcpy.gp.Reclassify_sa(Landuse_Data, "Value", "1 17 0;18 1;19 72 0;73 1;74 242 0", Landuse_Reclass, "NODATA")
# Process: Arcpy Math
PlusOutput = arcpy.gp.plus_sa(Aspect_Reclass_Output, Slope_Reclass_Output)
BestSite = arcpy.gp.times_sa(PlusOutput, Landuse_Reclass)
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02-20-2011
10:04 AM
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