CITATION.cff, citation section in readme has been moved up, bibtex citation has been added

Author: SimonMolinsky

CHANGELOG.rst

@@ -39,6 +39,7 @@ Changes - from version >= 1.x
 * [enhancement] `PointSupport` has the new parameters `values` and `geometries`, that might be provided instead of `ds` parameter
 * [docs] updated tutorials - new parameters are used in kriging operations, and when experimental variogram is computed
 * [docs] added missing badges (Python version and package version)
+* [docs] `CITATION.cff`, citation section in readme has been moved up, bibtex citation has been added
 * # todo [docs] docstring examples - all user-facing API endpoints has examples in docstrings, using new input types (values | geometries)
 
 2025-10-11

CITATION.cff

@@ -0,0 +1,23 @@
+cff-version: 1.2.0
+message: If you use this software, please cite both the article from preferred-citation and the software itself.
+authors:
+  - family-names: Moliński
+    given-names: Szymon
+title: 'Pyinterpolate: Spatial interpolation in Python for point measurements and aggregated datasets'
+version: 1.0.0
+url: https://doi.org/10.21105/joss.02869
+doi: 10.21105/joss.02869
+date-released: '2022-11-09'
+preferred-citation:
+  authors:
+    - family-names: Moliński
+      given-names: Szymon
+  title: 'Pyinterpolate: Spatial interpolation in Python for point measurements and aggregated datasets'
+  doi: 10.21105/joss.02869
+  url: https://doi.org/10.21105/joss.02869
+  type: article-journal
+  pages: '2869'
+  year: '2022'
+  conference: {}
+  publisher:
+    name: The Open Journal

README.md

@@ -16,6 +16,27 @@
 The package was updated to version 1.0 in June 2025. There are breaking API changes, so please, refer to the [CHANGELOG](https://github.com/DataverseLabs/pyinterpolate/blob/main/CHANGELOG.rst) to know more about the changes.
 Right now, the package in version 1.0.0 is in the **beta** stage, which means that it is stable but be careful with the production use. There might be some minor bugs, and large swaths of code are not optimized yet. If you find any bugs, please report them in the [issue tracker](https://github.com/DataverseLabs/pyinterpolate/issues).
 
+## Citation
+
+Moliński, S., (2022). Pyinterpolate: Spatial interpolation in Python for point measurements and aggregated datasets. Journal of Open Source Software, 7(70), 2869, https://doi.org/10.21105/joss.02869
+
+### Bibtex
+
+```text
+@article{Moliński2022,
+  doi = {10.21105/joss.02869},
+  url = {https://doi.org/10.21105/joss.02869},
+  year = {2022},
+  publisher = {The Open Journal},
+  volume = {7},
+  number = {70},
+  pages = {2869},
+  author = {Moliński, Szymon},
+  title = {Pyinterpolate: Spatial interpolation in Python for point measurements and aggregated datasets},
+  journal = {Journal of Open Source Software} }
+
+```
+
 ## Introduction
 
 Pyinterpolate is the Python library for **spatial statistics**. The package provides access to spatial statistics tools (variogram analysis, Kriging, Poisson Kriging, Indicator Kriging, Inverse Distance Weighting).
@@ -180,11 +201,6 @@ Pyinterpolate was created thanks to many resources and all of them are pointed h
 
 Join our community in Discord: [Discord Server Pyinterpolate](https://discord.gg/3EMuRkj)
 
-## How to cite
-
-Moliński, S., (2022). Pyinterpolate: Spatial interpolation in Python for point measurements and aggregated datasets. Journal of Open Source Software, 7(70), 2869, https://doi.org/10.21105/joss.02869
-
-
 ## Requirements and dependencies (v 1.x)
 
 Core requirements and dependencies are:

docs/source/index.rst

@@ -22,6 +22,10 @@ Important notice
 The package was updated to version 1.0 in June 2025. There are breaking API changes, so please, refer to the changelog, to know more about the changes.
 Right now, the package in version 1.0.0 is in the **beta** stage, which means that it is stable but be careful with the production use. There might be some minor bugs, and large swaths of code are not optimized yet. If you find any bugs, please report them in the `Github issue tracker <https://github.com/DataverseLabs/pyinterpolate/issues>`_.
 
+Citation
+--------
+Moliński, S., (2022). Pyinterpolate: Spatial interpolation in Python for point measurements and aggregated datasets. Journal of Open Source Software, 7(70), 2869, https://doi.org/10.21105/joss.02869
+
 Introduction
 ............
 
@@ -74,7 +78,3 @@ Contents
    api/api
    api/changes
    contributor/development
-
-Citation
---------
-Moliński, S., (2022). Pyinterpolate: Spatial interpolation in Python for point measurements and aggregated datasets. Journal of Open Source Software, 7(70), 2869, https://doi.org/10.21105/joss.02869