Installation

spglm supports python 3.9, 3.10, and 3.11. Please make sure that you are operating in a python 3 environment.

Installing with conda (highly recommended)

To install spglm and all its dependencies, we recommend using the conda manager, specifically with the conda-forge channel. This can be obtained by installing the Anaconda Distribution (a free Python distribution for data science), or through miniconda (minimal distribution only containing Python and the conda package manager).

Using conda, spglm can be installed as follows:

$ conda config --set channel_priority strict
$ conda install --channel conda-forge spglm

Also, geopandas provides a nice example to create a fresh environment for working with spatial data.

Installing via PyPI

spglm is available on the Python Package Index. Therefore, you can either install directly with pip from the command line:

pip install -U spglm

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 .

Installing development version

Potentially, you might want to use the newest features in the development version of spglm on github - pysal/spglm while have not been incorporated in the PyPI released version. You can achieve that by installing pysal/spglm by running the following from a command shell:

pip install git+https://github.com/pysal/spglm

You can also fork the pysal/spglm repo and create a local clone of your fork. By making changes to your local clone and submitting a pull request to pysal/spglm, you can contribute to the mgwr development.