Point elevation for snapping 2.5D networks

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09-19-2013 06:23 AM
TobiasLitherland1
New Contributor II
Hi!

I've got a 2.5D indoor network for an area without any proper Z data. Therefore, the network (covering several floors) uses ordinal elevation values from 0 to 9. The service is being used for simple routing problems from A to B.

My problem is how the routing locations snap to the network. I can't seem to find out how to assign a point to a specific floor (ordinal elevation value) so it snaps to the correct portion of the network. Any tips or workarounds?

Tobias
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RobertGarrity
Esri Contributor
Hi Tobias,

You could use the query builder. See the section entitled "Snapping environment with Build Query" in the following help topic:

http://resources.arcgis.com/en/help/main/10.2/#/What_are_network_analysis_objects/00470000003n000000...

Essentially, the query can reference the source features to see floor levels and you can limit which floor to locate on.

Best,
Robert

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JaySandhu
Esri Regular Contributor
Create a 3D point feature class and set the Z value to the floor value they need to snap to. Network Analyst supports network datasets with true 3D. You can also look at the indoor routing tutorial that comes with the software. Details here:
http://resources.arcgis.com/en/help/main/10.2/index.html#/Analysis_on_3D_network_datasets/0047000000...

Jay Sandhu
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RobertGarrity
Esri Contributor
Hi Tobias,

You could use the query builder. See the section entitled "Snapping environment with Build Query" in the following help topic:

http://resources.arcgis.com/en/help/main/10.2/#/What_are_network_analysis_objects/00470000003n000000...

Essentially, the query can reference the source features to see floor levels and you can limit which floor to locate on.

Best,
Robert
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TobiasLitherland1
New Contributor II
Thanks guys!

I'll go for the Query Builder-option until I have obtained better Z-data. The network services I'm publishing use only one floor at a time, but with the query builder i can publish all the servies while only referencing one network dataset, which is a lot more robust.

Have a nice day!
Tobias
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