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Spatial Data Analysis with PySAL

Sergio Rey

November 13, 2013

NARSC 2013, Atlanta, Ga

Workshop Description

A unique feature of this tutorial is the use of Python based software tools for spatial data analysis. Python is an object oriented scripting language that is gaining rapid adoption in the computational sciences. To facilitate this adoption within the GIScience community, Rey and Anselin have collaborated on the creation of PySAL: Python Library for Spatial Analysis. Since its initial release in July 2010, PySAL has been downloaded over 25,000 times. This three-part tutorial will introduce participants to version 1.6 of PySAL. The first component provides hands-on experience in the use of PySAL, installation and related packages. Part 2 deals with the use of PySAL for spatial data processing and visualization. Part three covers the exploratory spatial data analysis components of PySAL.

Prerequisites

Example data sets will be made available

Outline

  • Part 1: Introduction and Setup (30 minutes)
    • PySAL Overview
    • Software Configuration
    • IPython Notebook
  • Part 2: PySAL for Spatial Data Processing (60 minutes)
    • Spatial Data Processing with PySAL
    • Spatial Weights
    • Visualization
  • Break (15 Minutes)
  • Part 3: PySAL for Exploratory Spatial Data Analysis (75 Minutes)
    • Global Spatial Autocorrelation Analysis
    • Local Spatial Autocorrelation Analysis

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Materials for PySAL Workshop at NARSC 2013 Atlanta

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