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GeoDa: An Introduction to Spatial Data Analysis

  1. Luc Anselin1,
  2. Ibnu Syabri2,
  3. Youngihn Kho1

Article first published online: 20 DEC 2005

DOI: 10.1111/j.0016-7363.2005.00671.x

Issue

Geographical Analysis

Geographical Analysis

Volume 38, Issue 1, pages 5–22, January 2006

Additional Information

How to Cite

Anselin, L., Syabri, I. and Kho, Y. (2006), GeoDa: An Introduction to Spatial Data Analysis. Geographical Analysis, 38: 5–22. doi: 10.1111/j.0016-7363.2005.00671.x

Author Information

  1. 1

    Spatial Analysis Laboratory, Department of Geography, University of Illinois, Urbana, IL,

  2. 2

    Laboratory for Spatial Computing and Analysis, Department of Regional and City Planning, Institut Teknologi, Bandung, Indonesia

*Luc Anselin, Department of Geography, University of Illinois, Urbana-Champaign, Urbana, IL 61801 e-mail: anselin@uiuc.edu

Publication History

  1. Issue published online: 20 DEC 2005
  2. Article first published online: 20 DEC 2005
  3. Submitted: January 1, 2004. Revised version accepted: March 10, 2005.

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This article presents an overview of GeoDa™, a free software program intended to serve as a user-friendly and graphical introduction to spatial analysis for non-geographic information systems (GIS) specialists. It includes functionality ranging from simple mapping to exploratory data analysis, the visualization of global and local spatial autocorrelation, and spatial regression. A key feature of GeoDa is an interactive environment that combines maps with statistical graphics, using the technology of dynamically linked windows. A brief review of the software design is given, as well as some illustrative examples that highlight distinctive features of the program in applications dealing with public health, economic development, real estate analysis, and criminology.

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