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Cited by 2,555

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GeoDa: An Introduction to Spatial Data Analysis

Anselin, Luc, Syabri, Ibnu, Kho, Youngihn·2006·Geographical Analysis

Abstract

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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Metadata

Authors
Anselin, L., Syabri, I., & Kho, Y.
Venue
Geographical Analysis
Publisher
Wiley
Published
2005-12-20
Volume
38
Issue
1
Pages
5-22
ISSN
  • 0016-7363 (ISSN-L)
  • 1538-4632
OpenAlex
W2147330627
Cited by
2,555
References
0
FWCI
94.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: GeoDa: An Introduction to Spatial Data Analysis. https://app.cochat.ai/papers/10.1111/j.0016-7363.2005.00671.x
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Anselin, L., Syabri, I., & Kho, Y. (2006). GeoDa: An Introduction to Spatial Data Analysis. Geographical Analysis. https://doi.org/10.1111/j.0016-7363.2005.00671.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.