.. geoplot documentation master file, created by
sphinx-quickstart on Mon Dec 5 22:22:01 2016.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
Geoplot: geospatial data visualization
======================================
.. raw:: html
.. raw:: html
About
``geoplot`` is a high-level Python geospatial plotting library. It's an extension to ``cartopy`` and ``matplotlib``
which makes mapping easy: like ``seaborn`` for geospatial. It comes with the following features:
* **High-level plotting API**: ``geoplot`` is cartographic plotting for the 90% of use cases. All of the standard-bearermaps that you’ve probably seen in your geography textbook are easily accessible.
* **Native projection support**: The most fundamental peculiarity of geospatial plotting is projection: how do you unroll a sphere onto a flat surface (a map) in an accurate way? The answer depends on what you’re trying to depict. ``geoplot`` provides these options.
* **Compatibility with matplotlib**: While ``matplotlib`` is not a good fit for working with geospatial data directly, it’s a format that’s well-incorporated by other tools.
* **Built with modern geospatial Python in mind**: Innovations in recent years have made working with geospatial data easier than ever, which geoplot leverages with an easy-to-use and widely compatible API.
Browse the `Gallery <./gallery.html>`_ to see what ``geoplot`` can do, then jump into the
`Quickstart `_
or the `API Reference <./api.html>`_ to see how to do it. For help installing, check out
`Installation <./installing.html>`_.
.. raw:: html
Documentation
.. toctree::
:maxdepth: 1
installing
gallery
api
tutorials
.. raw:: html
.. Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`