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Getting to Know Your Data:
Exploratory Spatial Data Analysis
          with GeoDa
    MEASURE GIS Working Group Meeting
             26 June 2012

             James Stewart
           MEASURE Evaluation
Overview

 What is Exploratory Spatial Data Analysis
  (ESDA)?
 What is GeoDa?
 GeoDa in action
Exploratory Spatial Data Analysis

 Visualization and
  exploration that
  take geographic
  location into
  account
 Identification of
  interesting patterns
  (e.g., clusters and
  outliers)
Exploratory Spatial Data Analysis

 Data-driven,
  bottoms-up
  approach to
  generating
  hypotheses
 Provides foundation
  for spatial modeling
  to explain patterns
  (includes OLS)
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)
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
GeoDa in Action
GeoDa toolbar




   Beginning map
    window

   Data must be in
    shapefile format
GeoDa in Action: Univariate

 Choropleth map: quantile, percentile, box map,
  standard deviation
 Histogram
 Cluster analysis
Box Map and Box Plot
             Rwanda by District, 2010
            Percent HIV Positive among                       Box
                Women Age 15-49                              Map


Outliers     Box
1.5 x IQR    Plot


Q3
              mean
median
Q1


                                         Source: Rwanda DHS 2010
1.5 x IQR
Can Add Histogram
All Data Views are Linked
All Data Views are Linked: Points
Can Identify Clusters / “Hot Spots”
GeoDa in Action: Multivariate

 Side-by-side comparison
 Scatter plot
 Standardized scatter plot (correlation plot)
 Multivariate LISA (cluster analysis)
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
Scatter Plot

              Rwanda by District, 2010
      HIV Prevalence vs. Median Yrs Education
             Among Women Age 15-49




                                    Source: DHS 2010
Standardized Scatter Plot
                Source: DHS 2010
Multivariate Cluster Map (LISA)
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
For more information

 Visit http://geodacenter.asu.edu/
    Tutorials
    Videos
    Documentation
    Detailed glossary
    Publications
    Working papers
MEASURE Evaluation is a MEASURE project funded by the
U.S. Agency for International Development and implemented by
the Carolina Population Center at the University of North Carolina
at 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 not
necessarily reflect the views of USAID or the U.S. Government.
MEASURE Evaluation is the USAID Global Health Bureau's
primary vehicle for supporting improvements in monitoring and
evaluation in population, health and nutrition worldwide.

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Exploratory Spatial Analysis using GeoDa

  • 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 Action GeoDa 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 Map Outliers Box 1.5 x IQR Plot Q3 mean median Q1 Source: Rwanda DHS 2010 1.5 x IQR
  • 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
  • 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 http://geodacenter.asu.edu/  Tutorials  Videos  Documentation  Detailed glossary  Publications  Working papers
  • 21. MEASURE Evaluation is a MEASURE project funded by the U.S. Agency for International Development and implemented by the Carolina Population Center at the University of North Carolina at 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 not necessarily reflect the views of USAID or the U.S. Government. MEASURE Evaluation is the USAID Global Health Bureau's primary vehicle for supporting improvements in monitoring and evaluation in population, health and nutrition worldwide.