.. documentation master file

Multiscale Geographically Weighted Regression (MGWR)
====================================================

mgwr is a Python implementation of multiscale geographically weighted
regression for investigating process spatial heterogeneity and scale. It
incorporates the widely used approach to modeling process spatial heterogeneity
- Geographically Weighted Regression (GWR) as well as the newly proposed
approach -  Multiscale GWR (MGWR) which relaxes the assumption that all of the
processes being modeled operate at the same spatial scale. Inferences are
available for both approaches.

.. raw:: html

    <div class="container-fluid">
      <div class="row equal-height">
        <div class="col-sm-1 col-xs-hidden">
        </div>
        <div class="col-sm-10 col-xs-12">
            <a href="https://github.com/pysal/mgwr/blob/master/notebooks/MGWR_Georgia_example.ipynb" class="thumbnail">
                <img src="_static/images/gwr-mgwr.png" class="img-responsive center-block">
                <div class="caption text-center">
                <h6>GWR-MGWR Estimated Parameter Surface (Georgia Dataset)</h6>
                </div>
            </a>
        </div>
        <div class="col-sm-1 col-xs-hidden">
        </div>
      </div>
    </div>


.. toctree::
   :hidden:
   :maxdepth: 3
   :caption: Contents:

   Installation <installation>
   API <api>
   References <references>


.. _PySAL: https://github.com/pysal/pysal