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When dealing with large sets of geometries it would be nice if we could partition (chunk) the geometry coordinate and the GeometryIndex based on spatial locality (thus requiring spatial sorting or shu…
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**_I affirm:_**
- [x] I understand that if I do not agree to the following points by completing the checkboxes my issue will be ignored.
- [x] I have read and understood the [Contributing Guide]…
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Not being done... should be done.
- Octree (Working) and KD trees should work fine with static geometry
- Probably need RTree?
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World Collision is already utilizing spatial hash maps but body/body collisions check against every other body which scales extremely badly. Implement some form of spatial partitioning (grid, octree e…
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- [x] Create Spatial Partitioning or Octree to represent which entities are where. This should be regenerated once per frame after movement updates.
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You stated that you adopted the Spatial configuration partitioning from STGCN in your paper. However, I could not find the correspondence in the codes. It will be appreciated if you do not mind pointi…
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In Testbed-20 GDC @m-mohr pointed out that the expected behavior of `scale-size=`, `scale-factor=` for temporal dimensions is not clear at all.
In our implementation, we have not yet actually impleme…
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Hello author, I would like to ask what is the basis of the spatial partition of your data set? If I want to load a new data set during your data load process, how should I partition the new data set?
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Is there a way to spatially partition a dataframe and write it out using that partitioning scheme (presumably by converting to/from a spatial rdd)? This is my guess as to how to accomplish this but I'…
jwass updated
7 months ago
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Recent updates to hfsubsetR now generate errors in unit tests that previously passed. Here's an example of a call that no longer works:
```
nldi_feat rlang::last_trace()
Error in `arrow::open_…