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GIDDY: GeospatIal Distribution DYnamics

Project description

GeospatIal Distribution DYnamics (giddy) in PySAL

Giddy is an open-source python library for the analysis of dynamics of
longitudinal spatial data. Originating from the spatial dynamics module
in PySAL (Python Spatial Analysis Library), it is under active development
for the inclusion of many newly proposed analytics that consider the
role of space in the evolution of distributions over time and has
several new features including inter- and intra-regional decomposition
of mobility association and local measures of exchange mobility in
addition to space-time LISA and spatial markov methods.

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:alt: Documentation Status

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This package is part of a `refactoring of PySAL


Online documentation is available `here <>`_.

giddy modules

- giddy.directional Directional LISA, inference and visualization
- giddy.markov Spatially explicit Markov methods
- giddy.mobility Mobility indices
- giddy.rank Spatial decomposition of exchange mobility measure


Install giddy by running:


$ pip install giddy


PySAL-giddy is under active development and contributors are welcome.

If you have any suggestion, feature request, or bug report, please open
a new `issue <>`__ on GitHub. To
submit patches, please follow the PySAL development
`guidelines <>`__
and open a `pull request <>`__. Once your
changes get merged, you’ll automatically be added to the `Contributors
List <>`__.


The project is licensed under the `BSD
license <>`__.

BibTeX Citation

.. code-block::
author = {Sergio Rey and
Wei Kang and
Philip Stephens and
Nicholas Malizia and
Levi John Wolf and
Stefanie Lumnitz and
Jay Laura and
Charles Schmidt and
Eli knaap and
Andy Eschbacher},
title = {pysal/giddy: giddy 2.0.0},
month = Aug,
year = 2018,
doi = {10.5281/zenodo.1403906},
url = {}


NSF Award #1421935 `New Approaches to Spatial Distribution
Dynamics <>`__

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