GIS/Data Center (GDC) Short Course

Learn to layout and symbolize black-and-white maps for publication in journals, articles, books, and more.

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)

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.

Learn how to prepare tabular census data files for input into ArcGIS Pro, how to download the corresponding geographic TIGER/Line files and how to join the two together to display the tabular data within the ArcGIS Pro environment.

Learn how to extract tabular data and export maps for future population projections and current business and consumer data.

Learn how to extract tabular data and export maps and presentations for all of the population census data from 1790 to present.