Hi,
as part of my MSc dissertation I am coding in a building. Each floor is a different cube. This is stored initially in SQL database and then translated into .shp to be visualised in ArcScene 10.4. Is there a way to see boundaries between each of the floors?
The picture below shows my building that is 24 floors. I would like to see the boundaries between those floors. Is there a way to do it in ArcScene?
Thanks,
![](data:image/png;base64,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)