pyinterpolate
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Kriging | Poisson Kriging | Variogram Analysis
**Is your feature request related to a problem? Please describe.** `Pyinterpolate` is about spatial interpolation. But interpolation must happen on the grid of points. It will be nice to have...
- [x] Update tutorials, - [x] Update documentation, - [ ] TODOs to Issues, - [x] Update docstrings with authors information - [x] Check setup scripts - [x] Move https://github.com/DataverseLabs/pyinterpolate/blob/dev/pyinterpolate/misc/download_air_data.py...
**Is your feature request related to a problem? Please describe.** Directional variogram calculations are relatively slow. They should be faster. The two things can be done: - [ ] Instead...
New features to test data: - [ ] data cross-validation - [ ] clusters detection - [ ] ...
**Is your feature request related to a problem? Please describe.** - Literature shows equations to solve the kriging system from covariance terms, especially the Poisson Kriging system in here: `Goovaerts,...
**Is your feature request related to a problem? Please describe.**  **Describe the solution you'd like** Check **why** this warning occurs, and then **write a condition** to control the part...
**Is your feature request related to a problem? Please describe.** Wszystkie poradniki napisane są w języku angielskim. Ale paczka Pyinterpolate ma być umiędzynarodowiona! Dlatego dobrym pomysłem jest przepisanie poradników na...
At this point array interpolation ```interpolate_raster``` function output is: ```python [[numpy array of interpolated values, numpy array of interpolation errors], [pixel size, min x, max x, min y, max y]]...
**Is your feature request related to a problem? Please describe.** Create function which converts cases to rates based on the given cases and population units. **Describe the solution you'd like**...
At this stage algorithm produces numpy array which is a box and data is interpolated outside the study area. The idea is wrap `interpolate_raster` function into more complex package with:...