Lesson 4 overview
=================

During this lesson we will learn a few really useful and commonly used GIS functionalities using Geopandas, namely:

1. :doc:`Data classification <reclassify>`
2. :doc:`Heatmaps with Google Maps <gmaps-heatmap>`
3. :doc:`Exercise 4 <ex-4>`
4. :doc:`Exercise 4 hints <exercise-4-hints>`

Learning goals
--------------

After this lesson's lesson you should be able to:

 - Reclassify data based on different criteria (custom or common classifiers).

 - merge data, i.e. join spatial and non-spatial datasets together, based on some common identifier.


Sources
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Following materials are partly based on documentation of `Geopandas <http://geopandas.org/geocoding.html>`__, `Pandas <http://pandas.pydata.org/>`__, `Shapely
<http://toblerity.org/shapely/manual.html#>`__, `pysal <http://pysal.readthedocs.io/en/latest/>`_, and `Jupyter Gmaps <https://jupyter-gmaps.readthedocs.io>`_

The lesson reuses materials from Henrikki Tenkanen from the University of Helsinki, under CC-BY-SA from `from AutoGIS GitHub repository <https://github.com/Automating-GIS-processes/2017>`_.