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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.

.. image::

.. image::

This package is part of a `refactoring of PySAL

.. Space–time analytics that consider the role of space in the evolution of
distributions over time.

.. Below are six choropleth maps of US state per-capita incomes from 1929
to 2004 at a fifteen-year interval.

.. .. figure:: figs/us_qunitile_maps.png
:alt: us\_qunitile\_maps

.. us\_qunitile\_maps

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

Mimicking parts of the original PySAL api can be done with

``import giddy.api as ps``


Install giddy by running:


$ pip install giddy


- libpysal
- esda
- mapclassify


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 <>`__.


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

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