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Something to note I am having some issues with overpasses but it appears to be specific to my data since only one side of the highway is annotated. The unannotated side of the highway can be miss-classified near overpasses. So if a data contains large stretches of road way the roadway layer with the most segmentation should be used to create the points.
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06-16-2017
07:27 AM
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I actually found a pretty good solution that appears to work. I used a toolbox I found online to find the mid points of my target feature. I then took my new point target feature and joined it with the polyline join feature and used a closest (10 feet) spatial join. This appears to have remove gotten past the intersection issue. (arcgis.com/home/item.html?id=a2a41c8345e24ab6a9dd2ae215710b39)
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06-14-2017
12:10 PM
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Hello all I'm looking to merging two road layers. I am interested in the traffic volume in the second layer. My first thought was to use a spatial join and join the closest join feature to the target feature with a 100 foot tolerance. But I am worried that the intersections will cause some issues because if I am joining the feature based on proximity any time two roads cross at an intersection they will have a proximity of 0. I only want to join roadways that are parallel and not perpendicular. My question is should I be worried about the intersections causing issue and if so how do I get around that issue? Edit: I have a basic license and 10.5 After some experimenting intersections do indeed cause an issue. In the attached picture the buffered polyline is taking the north and south road value instead of the east and west value.
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06-14-2017
06:44 AM
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Thanks for the suggestions, but after I posted the question I found a better dataset that solved the issue.
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06-14-2017
06:34 AM
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I have two datasets one a roads dataset and another an urbanized area dataset. I am looking into adding an urban variable to all roads that fall into the urban area. One issue is that some of the lines are both out of an in an urban area. I want to split the roads at that urbanized boundary. What I've done so far is use Intersect (Analysis) to find all roads and road segments that are in the urban areas. But I don't know how to combine that subset with the original while splitting any roads at the urban boundaries. I looked into splitting the lines, selecting then deleting but I don't have an advance license. I looked into Erase but once again I don't have an advance license. I've seen that I could possible use union then delete the inner value (not sure what that means). But I can't seem to union polylines. Any suggestions?
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06-08-2017
08:37 AM
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I was able to cobble together some working code from the links you gave thanks. mxd = arcpy.mapping.MapDocument('CURRENT')
df = arcpy.mapping.ListDataFrames(mxd, "Layers") [0]
OutputLocation=r"\\mriglobal\kcshares\Projects\311190\STATISTICAL ANALYSIS\PLOTS"
Layer = "Export_Output"
cursor = arcpy.SearchCursor(Layer)
for row in cursor:
FID_txt=str(row.getValue('FID'))
arcpy.SelectLayerByAttribute_management(Layer, "NEW_SELECTION" , "FID = " + FID_txt)
df.zoomToSelectedFeatures()
if df.scale<2000 and df.scale>300:
df.scale=2000
if df.scale<300:
df.scale=1000
arcpy.RefreshActiveView()
arcpy.mapping.ExportToJPEG(mxd, OutputLocation + '/' + row.getValue('SRI') + ".jpg", df, 1920, 1080)
arcpy.SelectLayerByAttribute_management(Layer, "CLEAR_SELECTION")
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03-10-2017
12:09 PM
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Thanks for the response Ian. I'll start looking into this information and see if I can't figure something out.
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03-09-2017
02:27 PM
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I am looking for an automated way to scan through a dataset, panning to the location of each observation on the map, then take a picture of that observation, and then name the picture after one of the variables. I am thinking that python is going to be my best best for accomplishing this with a for loop but am unsure of functions would be able to accomplish this. I have some experience with python but not a lot of experience with ArcGIS and python. You can see an example below of the type of picture I want to take. I don't have to select each observation like in the picture but that would be nice. Thanks
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03-09-2017
01:15 PM
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