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Exploratory Spatial Analysis using GeoDa
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Exploratory Spatial Analysis using GeoDa


Presented by Jay Stewart, MEASURE Evaluation, at the June 2012 MEASURE GIS Working Group meeting.

Presented by Jay Stewart, MEASURE Evaluation, at the June 2012 MEASURE GIS Working Group meeting.

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  • 1. Getting to Know Your Data:Exploratory Spatial Data Analysis with GeoDa MEASURE GIS Working Group Meeting 26 June 2012 James Stewart MEASURE Evaluation
  • 2. Overview What is Exploratory Spatial Data Analysis (ESDA)? What is GeoDa? GeoDa in action
  • 3. Exploratory Spatial Data Analysis Visualization and exploration that take geographic location into account Identification of interesting patterns (e.g., clusters and outliers)
  • 4. Exploratory Spatial Data Analysis Data-driven, bottoms-up approach to generating hypotheses Provides foundation for spatial modeling to explain patterns (includes OLS)
  • 5. GeoDa Short for Geographic Data Analysis Developed by Dr. Luc Anselin, now at Arizona State University As of Oct 2011, downloaded over 62,000 times (since release in Feb 2003)
  • 6. GeoDa Latest version is OpenGeoDa  Free and open source  Cross-platform  Windows (XP, Vista, and 7)  MacOS  Linux Run-time executable requires no installation; can run from anywhere
  • 7. GeoDa in ActionGeoDa toolbar  Beginning map window  Data must be in shapefile format
  • 8. GeoDa in Action: Univariate Choropleth map: quantile, percentile, box map, standard deviation Histogram Cluster analysis
  • 9. Box Map and Box Plot Rwanda by District, 2010 Percent HIV Positive among Box Women Age 15-49 MapOutliers Box1.5 x IQR PlotQ3 meanmedianQ1 Source: Rwanda DHS 20101.5 x IQR
  • 10. Can Add Histogram
  • 11. All Data Views are Linked
  • 12. All Data Views are Linked: Points
  • 13. Can Identify Clusters / “Hot Spots”
  • 14. GeoDa in Action: Multivariate Side-by-side comparison Scatter plot Standardized scatter plot (correlation plot) Multivariate LISA (cluster analysis)
  • 15. Side-by-Side Comparison Rwanda by District, 2010 Rwanda by District, 2010 Women Age 15-49 using HIV Prevalence among Any Modern Method of Women Age 15-49 Contraception Source: DHS 2010 Source: DHS 2010
  • 16. Scatter Plot Rwanda by District, 2010 HIV Prevalence vs. Median Yrs Education Among Women Age 15-49 Source: DHS 2010
  • 17. Standardized Scatter Plot Source: DHS 2010
  • 18. Multivariate Cluster Map (LISA)
  • 19. Summary ESDA can help visualize data and formulate hypotheses GeoDa is an easy-to-use but powerful tool for ESDA GeoDa is free and open source
  • 20. For more information Visit  Tutorials  Videos  Documentation  Detailed glossary  Publications  Working papers
  • 21. MEASURE Evaluation is a MEASURE project funded by theU.S. Agency for International Development and implemented bythe Carolina Population Center at the University of North Carolinaat Chapel Hill in partnership with Futures Group International,ICF Macro, John Snow, Inc., Management Sciences for Health,and Tulane University. Views expressed in this presentation do notnecessarily reflect the views of USAID or the U.S. Government.MEASURE Evaluation is the USAID Global Health Bureausprimary vehicle for supporting improvements in monitoring andevaluation in population, health and nutrition worldwide.