Update dev to be in the same state as main before the new release

.github/workflows/python-install-and-test-on-linux-always.yml

@@ -4,7 +4,6 @@ on: [push]
 
 jobs:
   build:
-
     permissions: read-all
 
     runs-on: ubuntu-latest
@@ -29,4 +28,4 @@ jobs:
           coverage run -m pytest  -v -s
       - name: Generate Coverage Report
         run: |
-          coverage report -m
+          coverage report -m

.github/workflows/python-tests-coverage.yml

@@ -0,0 +1,72 @@
+name: Build tests coverage badge
+
+on:
+  push:
+    branches:
+      - main
+      - dev
+
+jobs:
+  build:
+    permissions:
+      actions: read
+      attestations: read
+      checks: read
+      contents: write
+      deployments: read
+      id-token: none
+      issues: none
+      discussions: none
+      packages: read
+      pages: read
+      pull-requests: write
+      security-events: read
+      statuses: read
+
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ["3.12"]
+
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install .
+          pip install --group dev
+      - name: Test with pytest
+        run: |
+          coverage run -m pytest  -v -s
+      - name: Generate Coverage Report
+        run: |
+          coverage report -m
+
+      - name: Coverage Badge
+        uses: tj-actions/coverage-badge-py@1788babcb24544eb5bbb6e0d374df5d1e54e670f # v2
+
+      - name: Verify Changed files
+        uses: tj-actions/verify-changed-files@a1c6acee9df209257a246f2cc6ae8cb6581c1edf # v20
+        id: verify-changed-files
+        with:
+          files: coverage.svg
+
+      - name: Commit files
+        if: steps.verify-changed-files.outputs.files_changed == 'true'
+        run: |
+          git config --local user.email "github-actions[bot]@users.noreply.github.com"
+          git config --local user.name "github-actions[bot]"
+          git add coverage.svg
+          git commit -m "Updated coverage.svg"
+
+      - name: Push changes
+        if: steps.verify-changed-files.outputs.files_changed == 'true'
+        uses: ad-m/github-push-action@master
+        with:
+          github_token: ${{ secrets.github_token }}
+          branch: ${{ github.ref }}

README.md

@@ -1,4 +1,10 @@
-![status](https://joss.theoj.org/papers/3f87f562264c4e5174d9e6ed6d8812aa/status.svg) ![License](https://img.shields.io/github/license/szymon-datalions/pyinterpolate) ![Documentation Status](https://readthedocs.org/projects/pyinterpolate/badge/?version=latest) [![CodeFactor](https://www.codefactor.io/repository/github/dataverselabs/pyinterpolate/badge)](https://www.codefactor.io/repository/github/dataverselabs/pyinterpolate)
+![JOSS](https://joss.theoj.org/papers/3f87f562264c4e5174d9e6ed6d8812aa/status.svg) [![License](https://img.shields.io/badge/License-BSD_2--Clause-orange.svg)](https://opensource.org/licenses/BSD-2-Clause) ![Documentation Status](https://readthedocs.org/projects/pyinterpolate/badge/?version=latest) [![CodeFactor](https://www.codefactor.io/repository/github/dataverselabs/pyinterpolate/badge)](https://www.codefactor.io/repository/github/dataverselabs/pyinterpolate)
+
+[![Run Unit Test via Pytest](https://github.com/DataverseLabs/pyinterpolate/actions/workflows/python-install-and-test-on-linux-always.yml/badge.svg)](https://github.com/DataverseLabs/pyinterpolate/actions/workflows/python-install-and-test-on-linux-always.yml) [![CodeQL](https://github.com/DataverseLabs/pyinterpolate/actions/workflows/github-code-scanning/codeql/badge.svg)](https://github.com/DataverseLabs/pyinterpolate/actions/workflows/github-code-scanning/codeql) ![Tests Coverage](https://github.com/DataverseLabs/pyinterpolate/blob/main/coverage.svg) 
+
+
+
+
 
 # Pyinterpolate
 
@@ -154,19 +160,12 @@ A world of advice, you should **always** use Virtual Environment for the install
 
 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)
 
-## Commercial and scientific projects where library has been used
-
-* Tick-Borne Disease Detector (Data Lions company) for the European Space Agency (2019-2020).
-* B2C project related to the prediction of demand for specific flu medications (2020).
-* B2G project related to the large-scale infrastructure maintenance (2020-2021).
-* E-commerce service for reporting and analysis, building spatial / temporal profiles of customers (2022+).
-* The external data augmentation for e-commerce services (2022+).
-* Regional aggregates transformation and preprocessing for location intelligence tasks (2025+).
-
-## Community
-
-Join our community in Discord: [Discord Server Pyinterpolate](https://discord.gg/3EMuRkj)
+## Use cases
 
+* [Lyme Disease Risk Assessment Based on the Earth Observation Data and Spatial Processing Technique. ESA Φ-week 2021](https://phiweek.esa.int/detailed-programme)
+* [Disaggregation of socio-economic data](https://ml-gis-service.com/index.php/2022/12/09/get-more-from-crime-rate-data-and-other-socio-economic-indicators-with-pyinterpolate/)
+* [Interpolation of air pollution](https://ml-gis-service.com/index.php/2021/10/31/data-science-interpolate-air-quality-measurements-with-python/)
+* [Educational - Spatial Data Science for Social Geography Course - Interpolation](https://github.com/martinfleis/sds?tab=readme-ov-file#spatial-data-science-for-social-geography)
 
 ## Bibliography
 
@@ -178,6 +177,9 @@ Pyinterpolate was created thanks to many resources and all of them are pointed h
 - Goovaerts P., Kriging and Semivariogram Deconvolution in the Presence of Irregular Geographical Units, Mathematical Geology 40(1), 101-128, 2008
 - Deutsch C.V., Correcting for Negative Weights in Ordinary Kriging, Computers & Geosciences Vol.22, No.7, pp. 765-773, 1996
 
+## Community
+
+Join our community in Discord: [Discord Server Pyinterpolate](https://discord.gg/3EMuRkj)
 
 ## How to cite
 

docs/build/html/_sources/community/community/use_cases.rst.txt

@@ -1,9 +1,7 @@
 Use Cases
 =========
 
-* Tick-Borne Disease Detector for the European Space Agency (2019-2020).
-* B2C project related to the prediction of demand for specific flu medications (2020).
-* B2G project related to the large-scale infrastructure maintenance (2020-2021).
-* E-commerce service for reporting and analysis, building spatial / temporal profiles of customers (2022+).
-* The external data augmentation for e-commerce services (2022+).
-* As a module for the hotel price optimization system (2023+).
+* `Lyme Disease Risk Assessment Based on the Earth Observation Data and Spatial Processing Technique. ESA Φ-week 2021 <https://phiweek.esa.int/detailed-programme>`_
+* `Disaggregation of socio-economic data <https://ml-gis-service.com/index.php/2022/12/09/get-more-from-crime-rate-data-and-other-socio-economic-indicators-with-pyinterpolate/>`_
+* `Interpolation of air pollution <https://ml-gis-service.com/index.php/2021/10/31/data-science-interpolate-air-quality-measurements-with-python/>`_
+* `Educational - Spatial Data Science for Social Geography Course - Interpolation <https://github.com/martinfleis/sds?tab=readme-ov-file#spatial-data-science-for-social-geography>`_

docs/build/html/community/community/use_cases.html

@@ -443,12 +443,10 @@
   <section id="use-cases">
 <h1>Use Cases<a class="headerlink" href="#use-cases" title="Link to this heading">#</a></h1>
 <ul class="simple">
-<li><p>Tick-Borne Disease Detector for the European Space Agency (2019-2020).</p></li>
-<li><p>B2C project related to the prediction of demand for specific flu medications (2020).</p></li>
-<li><p>B2G project related to the large-scale infrastructure maintenance (2020-2021).</p></li>
-<li><p>E-commerce service for reporting and analysis, building spatial / temporal profiles of customers (2022+).</p></li>
-<li><p>The external data augmentation for e-commerce services (2022+).</p></li>
-<li><p>As a module for the hotel price optimization system (2023+).</p></li>
+<li><p><a class="reference external" href="https://phiweek.esa.int/detailed-programme">Lyme Disease Risk Assessment Based on the Earth Observation Data and Spatial Processing Technique. ESA Φ-week 2021</a></p></li>
+<li><p><a class="reference external" href="https://ml-gis-service.com/index.php/2022/12/09/get-more-from-crime-rate-data-and-other-socio-economic-indicators-with-pyinterpolate/">Disaggregation of socio-economic data</a></p></li>
+<li><p><a class="reference external" href="https://ml-gis-service.com/index.php/2021/10/31/data-science-interpolate-air-quality-measurements-with-python/">Interpolation of air pollution</a></p></li>
+<li><p><a class="reference external" href="https://github.com/martinfleis/sds?tab=readme-ov-file#spatial-data-science-for-social-geography">Educational - Spatial Data Science for Social Geography Course - Interpolation</a></p></li>
 </ul>
 </section>
 

docs/source/community/community/use_cases.rst

@@ -1,9 +1,7 @@
 Use Cases
 =========
 
-* Tick-Borne Disease Detector for the European Space Agency (2019-2020).
-* B2C project related to the prediction of demand for specific flu medications (2020).
-* B2G project related to the large-scale infrastructure maintenance (2020-2021).
-* E-commerce service for reporting and analysis, building spatial / temporal profiles of customers (2022+).
-* The external data augmentation for e-commerce services (2022+).
-* As a module for the hotel price optimization system (2023+).
+* `Lyme Disease Risk Assessment Based on the Earth Observation Data and Spatial Processing Technique. ESA Φ-week 2021 <https://phiweek.esa.int/detailed-programme>`_
+* `Disaggregation of socio-economic data <https://ml-gis-service.com/index.php/2022/12/09/get-more-from-crime-rate-data-and-other-socio-economic-indicators-with-pyinterpolate/>`_
+* `Interpolation of air pollution <https://ml-gis-service.com/index.php/2021/10/31/data-science-interpolate-air-quality-measurements-with-python/>`_
+* `Educational - Spatial Data Science for Social Geography Course - Interpolation <https://github.com/martinfleis/sds?tab=readme-ov-file#spatial-data-science-for-social-geography>`_