A library of spatial analysis functions.
Project description
Python Spatial Analysis Library
Above: Local Indicators of Spatial Association for Homicide Rates in US Counties 1990.
PySAL, the Python spatial analysis library, is an open source cross-platform library for geospatial data science with an emphasis on geospatial vector data written in Python. It supports the development of high level applications for spatial analysis, such as
detection of spatial clusters, hot-spots, and outliers
construction of graphs from spatial data
spatial regression and statistical modeling on geographically embedded networks
spatial econometrics
exploratory spatio-temporal data analysis
PySAL Components
explore - modules to conduct exploratory analysis of spatial data, including statistical testing on points, networks, and polygonal lattices.
viz - visualize patterns in spatial data to detect clusters, outliers, and hot-spots.
model - model spatial relationships in data with a variety of linear, generalized-linear, generalized-additive, and nonlinear models.
dynamics - characterize distributional change, both internally and externally, for spatial and nonspatial distributions.
lib - solve a wide variety of computational geometry problems:
graph construction from polygonal lattices, lines, and points.
construction and interactive editing of spatial weights matrices & graphs
computation of alpha shapes, spatial indices, and spatial-topological relationships
reading and writing of sparse graph data, as well as pure python readers of spatial vector data.
Installation
PySAL is available through Anaconda (in the defaults or conda-forge channel) and Enthought Canopy. We recommend installing PySAL from conda-forge:
conda install pysalPySAL can be installed using pip:
pip install pysalAs of version 2.0.0 PySAL has shifted to Python 3 only.
Users who need an older stable version of PySAL that is Python 2 compatible can install version 1.14.3 through pip or conda:
conda install pysal==1.14.3Documentation
For help on using PySAL, check out the following resources:
Development
As of version 2.0.0, PySAL is now a collection of affiliated geographic data science packages. Changes to the code for any of the subpackages should be directed at the respective upstream repository, and not made here. Infrastructural changes for the meta-package, like those for tooling, building the package, and code standards, will be considered.
Development is hosted on github.
Discussions of development as well as help for users occurs on the developer list as well as gitter.
Getting Involved
If you are interested in contributing to PySAL please see our development guidelines <https://github.com/pysal/pysal/wiki/GitHub-Standard-Operating-Procedures>
Bug reports
To search for or report bugs, please see PySAL’s 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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