GIS/Data Center (GDC) Short Course

This course will teach you how to research and deposit data with ICPSR.

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

Topics:

• 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)

This class will explore a range of digital historic map resources, both free and subscription based, and how the maps and concepts of spatial thinking may be integrated into humanities and social sciences research and inquiry.

Learn basic spatial statistics tools in ArcGIS to calculate characteristic values of geographic data, such as the center, compactness, and orientation and observe shifting trends in these statistics over time.

Topics:

• Overview of spatial statistics
• Using the following spatial statistics tools:
  • Central Feature
  • Mean Center
  • Median Center
  • Standard Distance
  • Directional Distribution
  • Linear Directional Mean

Learn how to work with 3D data in ArcScene.

Coming out soon..

Learn some of the most frequently used geoprocessing tools to highlight the spatial relationships between your datasets, including clip, buffer, dissolve and spatial join.

Learn how to interpolate point data into and extract point data from continuous surface data.