cuspatial
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CUDA-accelerated GIS and spatiotemporal algorithms
**What is your question?** I could be crazy but I didn't see an obvious way to check if a point is on a line from the docs. Is the expected...
**Is your feature request related to a problem? Please describe.** Yes. We want to use H3 and S2 for pathfinding. We'd like to break the Earth up into tiny cells...
R-Tree is a popular spatial indexing technique for spatial data query processing. GPU R-Tree has been requested by several groups. Following the design by "Parallel spatial query processing on GPUs...
On passing columns from cudf. DataFrame into the `derive_trajectories` function. I get the following error: ``` RuntimeError: scan failed to synchronize: cudaErrorIllegalAddress: an illegal memory access was encountered ``` Dataset:...
The demo tests contain functions that have been deprecated from cuspatial. Therefore, the tests do not run
To create fast rasterization I wanted to use the quadtree_on_points, the data has 480631 points and a max_depht of 8, when I ran the function the resulting quadtree has 7720...
The second ask from @MurrayData. Perhaps you could be more specific?
`cuspatial` is referenced as a `trajectory` throughout these docs. Update to reflect the latest naming scheme. `distance_and_speed` has a weird help doc that is based on an example from an...
**Is your feature request related to a problem? Please describe.** Use `cudf::table` (and DataFrame in Python) type for inputs and outputs where it makes sense. **Describe the solution you'd like**...
All of our data is stored inside a data warehouse as text format WKT strings. This is very efficient for us as it means that we can directly process spatial...