Spatial Statistics: Analyzing Spatial Patterns


Introduction to GIS or familiarity with ArcGIS Pro.

Learn how to evaluate geographic patterns and identify statistically significant spatial clusters (hot spots) and outliers in your data.


  • Using the following spatial statistics tools:
    • Average Nearest Neighbor
    • Spatial Autocorrelation (Moran's I)
    • Incremental Spatial Autocorrelation
    • ​High/Low Clustering (Getis-Ord General G)
    • Hot Spot Analysis (Getis-Ord Gi*)
    • Optimized Hot Spot Analysis
    • Cluster and Outlier Analysis (Anselin Local Moran's I)
Fondren Library B43A
Registration Form
Some short courses are offered multiple times each semester, please enter the course date/time you wish to register.
Rice Affiliation
* Denotes that Friends of Fondren Library membership is required for classes offered by the GIS/Data Center and Digital Media Commons. Government Information classes do not require a membership.