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fixes 832 update citation info in readme #834

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Merged
brendancol merged 3 commits into from
Dec 18, 2025
+5 −3
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fixes 832 update citation info in readme #834

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251e20a
removed references to xarray-spatial.org
brendancol Dec 16, 2025
8670d33
updated citation and added conda version badge
brendancol Dec 18, 2025
ba86fec
OXMerge branch 'master' into fixes-832-update-citation-info-in-readme
brendancol Dec 18, 2025
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8 changes: 5 additions & 3 deletions README.md
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Expand Up @@ -5,7 +5,9 @@
<td>Latest Release</td>
<td>
<div>
<img src="https://badge.fury.io/py/xarray-spatial.svg" alt="pypi version" />
<img src="https://anaconda.org/conda-forge/xarray-spatial/badges/latest_release_date.svg" alt="Last Conda Release"/>
<img src="https://badge.fury.io/py/xarray-spatial.svg" alt="pypi version" />
<img src="https://anaconda.org/conda-forge/xarray-spatial/badges/version.svg" alt="conda-forge version" />
</div>
</a>
</td>
Expand Down Expand Up @@ -282,6 +284,6 @@ However, wrapping GDAL has a few drawbacks for Python developers and data scient
With the introduction of projects like Numba, Python gained new ways to provide high-performance code directly in Python, without depending on or being constrained by separate C/C++ extensions. `xarray-spatial` implements algorithms using Numba and Dask, making all of its source code available as pure Python without any "black box" barriers that obscure what is going on and prevent full optimization. Projects can make use of the functionality provided by `xarray-spatial` where available, while still using GDAL where required for other tasks.

#### Citation
Cite our code:
Cite this code:

`makepath/xarray-spatial, https://github.com/makepath/xarray-spatial, ©2020-2024.`
`makepath/xarray-spatial, https://github.com/makepath/xarray-spatial, ©2020-2026.`