A library of spatial analysis functions.
Project description
Python Spatial Analysis Library
=================================
.. image:: https://travis-ci.org/pysal/pysal.svg
:target: https://travis-ci.org/pysal
.. image:: https://coveralls.io/repos/pysal/pysal/badge.svg?branch=master
:target: https://coveralls.io/r/pysal/pysal?branch=master
.. image:: https://badges.gitter.im/pysal/pysal.svg
:target: https://gitter.im/pysal/pysal
.. image:: https://readthedocs.org/projects/pip/badge/?version=latest
:target: http://pysal.readthedocs.io/en/latest/index.html
PySAL_ is an open source cross-platform library of spatial analysis functions
written in Python. It is intended to support the development of high level
applications for spatial analysis.
.. image:: https://farm2.staticflickr.com/1699/23937788493_1b9d147b9f_z.jpg
:width: 25%
:scale: 25%
:target: http://nbviewer.ipython.org/urls/gist.githubusercontent.com/darribas/657e0568df7a63362762/raw/pysal_lisa_maps.ipynb
:alt: LISA Maps of US County Homicide Rates
*Above: Local Indicators of Spatial Association for Homicide Rates in US
Counties 1990.*
PySAL modules
=============
* pysal.cg Computational geometry
* pysal.contrib Contributed modules
* pysal.core Core data structures and IO
* pysal.esda Exploratory spatial data analysis
* pysal.examples Data sets
* pysal.inequality Spatial inequality analysis
* pysal.network Spatial analysis on networks
* pysal.region Spatially constrained clustering
* pysal.spatial_dynamics Spatial dynamics
* pysal.spreg Spatial econometrics and diagnostics
* pysal.weights Spatial weights
Installation
============
PySAL can be installed using pip:
.. code-block:: bash
$ pip install pysal
PySAL is also available through
`Anaconda <https://www.continuum.io/downloads>`__ and `Enthought Canopy <https://www.enthought.com/products/canopy/>`__.
Documentation
=============
For help on using PySAL, check out the following resources:
* `User Guide <http://pysal.readthedocs.org/en/latest/users/index.html>`_
* `Tutorials and Short Courses <https://github.com/pysal/notebooks/blob/master/courses.md>`_
* `Notebooks <https://github.com/pysal/notebooks>`_
* `User List <http://groups.google.com/group/openspace-list>`_
Development
===========
PySAL development is hosted on github_.
.. _github : https://github.com/pysal/pysal
Discussions of development occurs on the
`developer list <http://groups.google.com/group/pysal-dev>`_
as well as gitter_.
.. _gitter : https://gitter.im/pysal/pysal?
Getting Involved
================
If you are interested in contributing to PySAL please see our
`development guidelines <http://pysal.readthedocs.org/en/latest/developers/index.html>`_.
Bug reports
===========
To search for or report bugs, please see PySAL's issues_.
.. _issues : http://github.com/pysal/pysal/issues
License information
===================
See the file "LICENSE.txt" for information on the history of this
software, terms & conditions for usage, and a DISCLAIMER OF ALL
WARRANTIES.
=================================
.. image:: https://travis-ci.org/pysal/pysal.svg
:target: https://travis-ci.org/pysal
.. image:: https://coveralls.io/repos/pysal/pysal/badge.svg?branch=master
:target: https://coveralls.io/r/pysal/pysal?branch=master
.. image:: https://badges.gitter.im/pysal/pysal.svg
:target: https://gitter.im/pysal/pysal
.. image:: https://readthedocs.org/projects/pip/badge/?version=latest
:target: http://pysal.readthedocs.io/en/latest/index.html
PySAL_ is an open source cross-platform library of spatial analysis functions
written in Python. It is intended to support the development of high level
applications for spatial analysis.
.. image:: https://farm2.staticflickr.com/1699/23937788493_1b9d147b9f_z.jpg
:width: 25%
:scale: 25%
:target: http://nbviewer.ipython.org/urls/gist.githubusercontent.com/darribas/657e0568df7a63362762/raw/pysal_lisa_maps.ipynb
:alt: LISA Maps of US County Homicide Rates
*Above: Local Indicators of Spatial Association for Homicide Rates in US
Counties 1990.*
PySAL modules
=============
* pysal.cg Computational geometry
* pysal.contrib Contributed modules
* pysal.core Core data structures and IO
* pysal.esda Exploratory spatial data analysis
* pysal.examples Data sets
* pysal.inequality Spatial inequality analysis
* pysal.network Spatial analysis on networks
* pysal.region Spatially constrained clustering
* pysal.spatial_dynamics Spatial dynamics
* pysal.spreg Spatial econometrics and diagnostics
* pysal.weights Spatial weights
Installation
============
PySAL can be installed using pip:
.. code-block:: bash
$ pip install pysal
PySAL is also available through
`Anaconda <https://www.continuum.io/downloads>`__ and `Enthought Canopy <https://www.enthought.com/products/canopy/>`__.
Documentation
=============
For help on using PySAL, check out the following resources:
* `User Guide <http://pysal.readthedocs.org/en/latest/users/index.html>`_
* `Tutorials and Short Courses <https://github.com/pysal/notebooks/blob/master/courses.md>`_
* `Notebooks <https://github.com/pysal/notebooks>`_
* `User List <http://groups.google.com/group/openspace-list>`_
Development
===========
PySAL development is hosted on github_.
.. _github : https://github.com/pysal/pysal
Discussions of development occurs on the
`developer list <http://groups.google.com/group/pysal-dev>`_
as well as gitter_.
.. _gitter : https://gitter.im/pysal/pysal?
Getting Involved
================
If you are interested in contributing to PySAL please see our
`development guidelines <http://pysal.readthedocs.org/en/latest/developers/index.html>`_.
Bug reports
===========
To search for or report bugs, please see PySAL's issues_.
.. _issues : http://github.com/pysal/pysal/issues
License information
===================
See the file "LICENSE.txt" for information on the history of this
software, terms & conditions for usage, and a DISCLAIMER OF ALL
WARRANTIES.
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