Related Issues (20)
- User-input type checks of `nodata` bypassed in `from_array()` and other dependent functions
- Nodata should be cast depending on operation type and not just input HOT 1
- Raster - support to instantiate a raster directly from an Xarray object HOT 2
- Remove iterable `Raster.dtypes` into a single `dtype` attribute
- `Raster.to_xarray()` not masking NaN nodata values HOT 1
- Add documentation page on pixel interpretation
- Add tests for `Raster.get_mask`
- Add `geoutils.config` parameters for resampling HOT 1
- Transform `SatelliteImage` class into an optional dictionary attribute in `Raster` HOT 1
- Tests relying on `scipy.interpn` give slightly different result since `1.13.0` release
- Consistently use NumPy's default random number generator to avoid RAM usage issues from legacy call
- Re-organize raster and vector functionalities as separate functions HOT 2
- Add runtime tests to `delayed` functions
- Coverage conversion fails in CI
- Unpin `coverage<7` in CI once `coveragepy-lcov` fixed
- Silence asynchronous `PluggyTeardownRaisedWarning` in `test_delayed` due to using `dask-memusage` HOT 1
- Slow `Raster.to_pointcloud` for `subsample=1`
- Add convenience function to transform multiple point inputs into the same shape
- Add point cloud gridding into raster with nodata value setting
- Check if `map_coordinates` and `interpn` interpolate the same on a regular grid with different spacing in X/Y
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from geoutils.