Timeline for Joining points to points on the same road
Current License: CC BY-SA 3.0
11 events
| when toggle format | what | by | license | comment | |
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| Apr 20, 2016 at 21:51 | answer | added | FelixIP | timeline score: 1 | |
| Apr 20, 2016 at 20:35 | history | edited | PolyGeo♦ | CC BY-SA 3.0 |
deleted 9 characters in body; edited tags
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| Apr 20, 2016 at 19:39 | comment | added | Tom | Rachel, how do you feel about Python coding? | |
| Apr 20, 2016 at 15:13 | comment | added | Nxaunxau | This may not be the most efficient approach but you could try using linear referencing. Assuming you have road data with unique ids, volume points with ids tying them back to roads and sighting points with road id as an attribute, you can locate the sightings and volume points along the roads then do an attribute query/summary to find volume points closest to a particular sighting point along a given road. | |
| Apr 20, 2016 at 15:04 | answer | added | MacroZED | timeline score: -1 | |
| Apr 20, 2016 at 14:56 | comment | added | Tom | @Nomkins, which match option are you thinking would work? I don't see how that would restrict the search to points along the same line. However, this might work: first attribute (most likely via a spatial join) the points with their respective roads; then, perform spatial joins (closest...but definitely set a reasonable search radius as well) on each set of points along the same road. You could accomplish this part with a cursor on geometry or a script that exports each set, performs the join, then applies the attributes to the source dataset. | |
| Apr 20, 2016 at 14:46 | comment | added | Rachel | A screen shot of the raw data or the points in ArcMap? @Zahir_Ibrahim | |
| Apr 20, 2016 at 14:45 | comment | added | Nomkins | I agree with @Zahir_Ibrahim, I think that a Spatial Join with the right combination of "Join Operation" and "Match Option" settings could work for what you're wanting to do. | |
| Apr 20, 2016 at 14:29 | comment | added | MacroZED | Is there any chance to put a screenshot up? im thinking a spatial join might work. | |
| Apr 20, 2016 at 14:26 | review | First posts | |||
| Apr 20, 2016 at 14:46 | |||||
| Apr 20, 2016 at 14:24 | history | asked | Rachel | CC BY-SA 3.0 |