Merge pull request #503 from DataverseLabs/494-link-to-nonexistent-contributionmd

Corrected broken links to CONTRIBUTING.md file in README and document…

Author: SimonMolinsky

CHANGELOG.rst

@@ -40,6 +40,7 @@ Changes - from version >= 1.x
 * [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
+* [docs] corrected broken links to `CONTRIBUTING.md` file in readme and docs
 * # todo [docs] docstring examples - all user-facing API endpoints has examples in docstrings, using new input types (values | geometries)
 
 2025-10-11

README.md

@@ -178,7 +178,7 @@ A world of advice, you should **always** use Virtual Environment for the install
 
 ## Tests and contribution
 
-All tests are grouped in the `test` directory. If you would like to contribute, then you won't avoid testing, but it is described step-by-step here: [CONTRIBUTION.md](https://github.com/DataverseLabs/pyinterpolate/blob/main/CONTRIBUTION.md)
+All tests are grouped in the `test` directory. If you would like to contribute, then you won't avoid testing, but it is described step-by-step here: [CONTRIBUTING.md](https://github.com/DataverseLabs/pyinterpolate/blob/main/CONTRIBUTING.md)
 
 ## Use cases
 

docs/build/doctrees/contributor/development/tests_and_contribution.doctree

@@ -1,4 +1,4 @@
 Tests and contribution
 ======================
 
-All tests are grouped in the ``test`` directory. If you would like to contribute, then you won't avoid testing, but it is described step-by-step here: `CONTRIBUTION.md <https://github.com/DataverseLabs/pyinterpolate/blob/main/CONTRIBUTION.md>`_
+All tests are grouped in the ``test`` directory. If you would like to contribute, then you won't avoid testing, but it is described step-by-step here: `CONTRIBUTING.md <https://github.com/DataverseLabs/pyinterpolate/blob/main/CONTRIBUTING.md>`_

docs/build/doctrees/environment.pickle

@@ -14,14 +14,18 @@ Pyinterpolate
 -----------------
 
 .. note::
-   The last documentation update: *2025-10-11*
+   The last documentation update: *2025-11-08*
 
 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

docs/build/doctrees/index.doctree

@@ -444,7 +444,7 @@
 
   <section id="tests-and-contribution">
 <h1>Tests and contribution<a class="headerlink" href="#tests-and-contribution" title="Link to this heading">#</a></h1>
-<p>All tests are grouped in the <code class="docutils literal notranslate"><span class="pre">test</span></code> directory. If you would like to contribute, then you won’t avoid testing, but it is described step-by-step here: <a class="reference external" href="https://github.com/DataverseLabs/pyinterpolate/blob/main/CONTRIBUTION.md">CONTRIBUTION.md</a></p>
+<p>All tests are grouped in the <code class="docutils literal notranslate"><span class="pre">test</span></code> directory. If you would like to contribute, then you won’t avoid testing, but it is described step-by-step here: <a class="reference external" href="https://github.com/DataverseLabs/pyinterpolate/blob/main/CONTRIBUTING.md">CONTRIBUTING.md</a></p>
 </section>
 
 

docs/build/html/_sources/contributor/development/tests_and_contribution.rst.txt

@@ -410,13 +410,17 @@ <h1>Pyinterpolate<a class="headerlink" href="#pyinterpolate" title="Link to this
 <h2><strong>version 1.1.0</strong><a class="headerlink" href="#version-1-1-0" title="Link to this heading">#</a></h2>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
-<p>The last documentation update: <em>2025-10-11</em></p>
+<p>The last documentation update: <em>2025-11-08</em></p>
 </div>
 <section id="important-notice">
 <h3>Important notice<a class="headerlink" href="#important-notice" title="Link to this heading">#</a></h3>
 <p>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 <strong>beta</strong> 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 <a class="reference external" href="https://github.com/DataverseLabs/pyinterpolate/issues">Github issue tracker</a>.</p>
 </section>
+</section>
+<section id="citation">
+<h2>Citation<a class="headerlink" href="#citation" title="Link to this heading">#</a></h2>
+<p>Moliński, S., (2022). Pyinterpolate: Spatial interpolation in Python for point measurements and aggregated datasets. Journal of Open Source Software, 7(70), 2869, <a class="reference external" href="https://doi.org/10.21105/joss.02869">https://doi.org/10.21105/joss.02869</a></p>
 <section id="introduction">
 <h3>Introduction<a class="headerlink" href="#introduction" title="Link to this heading">#</a></h3>
 <p><code class="docutils literal notranslate"><span class="pre">Pyinterpolate</span></code> is the Python library for <strong>spatial statistics</strong>. The package provides access to spatial statistics tools (variogram analysis, Kriging, Poisson Kriging, Indicator Kriging, Inverse Distance Weighting).</p>
@@ -467,10 +471,6 @@ <h2>Contents<a class="headerlink" href="#contents" title="Link to this heading">
 </ul>
 </div>
 </section>
-<section id="citation">
-<h2>Citation<a class="headerlink" href="#citation" title="Link to this heading">#</a></h2>
-<p>Moliński, S., (2022). Pyinterpolate: Spatial interpolation in Python for point measurements and aggregated datasets. Journal of Open Source Software, 7(70), 2869, <a class="reference external" href="https://doi.org/10.21105/joss.02869">https://doi.org/10.21105/joss.02869</a></p>
-</section>
 </section>
 
 
@@ -513,11 +513,13 @@ <h2>Citation<a class="headerlink" href="#citation" title="Link to this heading">
     <ul class="visible nav section-nav flex-column">
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#version-1-1-0"><strong>version 1.1.0</strong></a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#important-notice">Important notice</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#citation">Citation</a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#introduction">Introduction</a></li>
 </ul>
 </li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#contents">Contents</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#citation">Citation</a></li>
 </ul>
   </nav></div>