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To find a "concave hull" around a set of 3D points, I found that using the marching cube algorithm for volumetric data works best. Here is an example using Python. To run it, you first need to transform your cloud of 3D points into a volumetric dataset. Then, you obtain the points at the border of your cloud and the faces that can be used to make a mesh that ...


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gstat can do spatial-temporal kriging, as explained here: https://www.r-bloggers.com/spatio-temporal-kriging-in-r/ . Time is just a third dimension, and you could use "elevation" data instead of time, in the same algorithms, reaching the desired output. As an alternative, although not completely native in R, Saga Gis 7.4 just implemented full 3d kriging. ...


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If you have basic license with 3D Analyst extension, standard or advanced licenses, you can use Add Z Information. The tool Adds information about elevation properties of features in a Z-enabled feature class I do not have any of the above requirements to test that, but you can give it a try if you have the proper license. If you don't have the 3D ...


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Following up... I supposed my laptop does not have the hardware requirements to render the 3D scene properly. After transferring the project to a more powerful PC, the 3D view appeared properly.


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This is the current supported experience with Build Scene Layers and the Building Explorer tool. The building explorer is currently used for only one building at a time.


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Discover3d will do what you want - and Rainy River should still have licenses to the software. I normally start out with Discovr3d flythru module to create the below surface video, and then user google earth pro for some of the surface creation as it's something people recognize and are familiar with, I then put it all together with my favorite video ...


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