Comments (1)
Could also add less accessible yet important parameters to config
like "densify_points" for all projections function
from geoutils.
Related Issues (20)
- `subsample_array` still runs random subsampling with `subsample=1`
- Deal consistently with `Raster.data.mask=False` HOT 1
- Add functionalities to read/save in zarr format? HOT 3
- Merge `_check_cast_raster_array()` and `_overloading_check()` into a consistent implementation
- Build dependencies `setuptools` and `setuptools_scm` are being copied into `pip` requirements HOT 1
- Remove `rioxarray` optional import logic now that it is a main dependency HOT 2
- Automate checking of `meta.yml` in `geoutils-feedstock`?
- 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`
- 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
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from geoutils.