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28 changes: 19 additions & 9 deletions CHANGELOG.md
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-----------


### Version 0.5.3 (unreleased)
- Fixes #134: Add `xr.Dataset` as input type for appropriate modules.
Most public functions now transparently accept `xr.Dataset` in addition
to `xr.DataArray`. Single-input functions (slope, aspect, curvature,
hillshade, focal.mean, all classification functions, proximity/allocation/
direction) iterate over data variables and return a Dataset. Multi-input
functions (all multispectral indices) accept a Dataset with band-name
keyword arguments. `zonal.stats` computes per-variable statistics and
returns a merged DataFrame with prefixed columns.
### Version 0.5.3 - 2026-02-22
- Fixes #733: add cost_distance() for weighted proximity (#859)
- Fixes #734: make noise a lazy import so datasets module is usable without it (#858)
- Fixes #774: suppress dd.concat unknown divisions warning in zonal_stats (#857)
- Fixes #392: document and test 3D time-series zonal stats via Dataset (#856)
- Fix hotspots dask performance: 2-pass streaming with O(chunk_size) memory (#855)
- Fixes #134: add xr.Dataset as input type for appropriate modules (#854)
- Warnings(17) filtering for non-GPU (#850)
- Fixes #190: GPU-enable all classification operations (#852)
- updating links and text (#849)
- fixes 766 document handling of f32 vs. f64 data when using xarray spatial (#847)
- Fix rioxarray band_as_variable DataArray extraction (#846)
- added majority as default stat for zonal operations with numpy and cupy (#844)
- fixed proximity intermediate large numpy array problem and proximity output coords are now lazy if input is dask array (#843)
- Changed regions parameter connections to neighborhood and updated docstring (#842)
- Testing and Updating Examples (#837)
- added horizontal vertical unit mismatch heuristic to help address issue #840 (#841)
- Fixes #838 update legacy repo url links (#839)
- added colorado dem to examples datasets yaml


### Version 0.5.2 - 2025-12-18
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7 changes: 7 additions & 0 deletions docs/source/reference/proximity.rst
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xrspatial.proximity.great_circle_distance
xrspatial.proximity.manhattan_distance
xrspatial.proximity.proximity

Cost Distance
==============
.. autosummary::
:toctree: _autosummary

xrspatial.cost_distance.cost_distance