remove gitter > add discord (#441)

README.md

@@ -15,6 +15,8 @@
 [![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
 [![status](https://joss.theoj.org/papers/1413cf2c0cf3c561386949f2e1208563/status.svg)](https://joss.theoj.org/papers/1413cf2c0cf3c561386949f2e1208563)
 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4444156.svg)](https://doi.org/10.5281/zenodo.4444156)
+[![Discord](https://img.shields.io/badge/Discord-join%20chat-7289da?style=flat&logo=discord&logoColor=cccccc&link=https://discord.gg/BxFTEPFFZn)](https://discord.gg/BxFTEPFFZn)
+
 
 Spopt is an open-source Python library for solving optimization problems with spatial data. Originating from the `region` module in [PySAL (Python Spatial Analysis Library)](http://pysal.org), it is under active development for the inclusion of newly proposed models and methods for regionalization, facility location, and transportation-oriented solutions. 
 
@@ -127,7 +129,7 @@ PySAL-spopt is under active development and contributors are welcome.
 If you have any suggestions, feature requests, or bug reports, please open new [issues](https://github.com/pysal/spopt/issues) on GitHub. To submit patches, please review [PySAL's documentation for developers](https://pysal.org/docs/devs/), the PySAL [development guidelines](https://github.com/pysal/pysal/wiki), the `spopt` [contributing guidelines](https://github.com/pysal/spopt/blob/main/.github/CONTRIBUTING.md) before  opening a [pull request](https://github.com/pysal/spopt/pulls). Once your changes get merged, you’ll automatically be added to the [Contributors List](https://github.com/pysal/spopt/graphs/contributors).
 
 ## Support
-If you are having trouble, please [create an issue](https://github.com/pysal/spopt/issues), [start a discussion](https://github.com/pysal/spopt/discussions), or talk to us in the [gitter room](https://gitter.im/pysal/spopt).
+If you are having trouble, please [create an issue](https://github.com/pysal/spopt/issues), [start a discussion](https://github.com/pysal/spopt/discussions), or talk to us in [PySAL's Discord channel](https://discord.gg/BxFTEPFFZn).
 
 ## Code of Conduct
 

docs/api.rst

@@ -11,7 +11,6 @@ Region Methods
 --------------
 Model based approaches for aggregating a large set of geographic units (with small footprints) into a smaller number of regions (with large footprints).
 
-
 .. autosummary::
    :toctree: generated/
 
@@ -39,5 +38,3 @@ Exact solution approaches to facility location modeling problems.
     locate.KNearestPMedian
     locate.PCenter
     locate.PDispersion
-
-

docs/index.rst

@@ -3,14 +3,11 @@
 spopt: Spatial Optimization
 ===========================
 
-
-
 Regionalization, facility location, and transportation-oriented modeling
 ------------------------------------------------------------------------
 
 **spopt** is an open-source Python library for solving optimization problems with spatial data. Originating from the **region** module in `PySAL (Python Spatial Analysis Library) <http://pysal.org>`_, it is under active development for the inclusion of newly proposed models and methods for regionalization, facility location, and transportation-oriented solutions.
 
-
 .. raw:: html
 
     <div class="container-fluid">
@@ -78,16 +75,16 @@ Regionalization, facility location, and transportation-oriented modeling
         </div>
       </div>
     </div>
-
-
-
 
 Development
 -----------
 
 **spopt** development is hosted on github_.
 
+Get in touch
+------------
 
+If you have a question regarding **spopt**, feel free to open an `issue`_, a new `discussion`_ on GitHub, or join a chat on PySAL's `Discord`_ channel.
 
 Citing **spopt**
 ----------------
@@ -123,21 +120,18 @@ If you use **PySAL-spopt** in a scientific publication, we would appreciate cita
     doi       = {10.21105/joss.03330},
   }
 
-
 Funding
 -------
 
 This project is/was partially funded through:
 
-
 .. figure:: _static/images/nsf_logo.png
     :target: https://www.nsf.gov/index.jsp
     :width: 100
     :align: left
 
     National Science Foundation Award #1831615: `RIDIR: Scalable Geospatial Analytics for Social Science Research <https://www.nsf.gov/awardsearch/showAward?AWD_ID=1831615>`_
 
-
 .. raw:: html
 
     <img 
@@ -148,8 +142,6 @@ This project is/was partially funded through:
         height="200"
     >
 
-
-
 .. toctree::
    :hidden:
    :maxdepth: 3
@@ -160,7 +152,8 @@ This project is/was partially funded through:
    API <api>
    References <references>
 
-
-
 .. _PySAL: https://github.com/pysal/pysal
 .. _github : https://github.com/pysal/spopt
+.. _issue: https://github.com/pysal/spopt/issues/new/choose
+.. _discussion: https://github.com/pysal/spopt/discussions
+.. _Discord: https://discord.gg/BxFTEPFFZn

docs/installation.rst

@@ -14,20 +14,16 @@ install directly with `pip` from the command line::
 
   pip install -U spopt
 
-
 or download the source distribution (.tar.gz) and decompress it to your selected
 destination. Open a command shell and navigate to the decompressed folder.
 Type::
 
   pip install .
 
-
 You may also install the latest stable spopt via conda-forge channel by running::
 
   conda install --channel conda-forge spopt
 
-
-
 Installing development version
 ------------------------------