Training Modules Using ArcGIS Desktop
- GIS Training I: Organizing Principles: An Introduction to GIS
This training section provides an introduction to some of the basic themes and concepts of GIS and hands-on use of ArcGIS Desktop software. These training modules are designed for public health professionals with little or no experience using ArcGIS Desktop.
- GIS Training II: Data Management: Creation, Edition, and Maintenance of Spatial Data
This training section builds on the training modules offered in GIS Training I, and offers guidance and practice for the customization/creation of data to suit specialized GIS needs. These training modules assume some experience using ArcGIS Desktop.
- GIS Training III: Analysis: Applied Analysis Techniques for GIS in Chronic Disease
This training section builds on the modules offered in GIS Training I and II, and introduces several useful pieces of analytical GIS functionality with health applications, including network analysis, spatial analysis, and hotspot analysis. These training modules assume some experience using ArcGIS Desktop.
- GIS Training IV: Special Topics
This training section builds on the modules offered in GIS Training I, II, and III, and introduces several advanced pieces of GIS functionality with health applications. This includes how to map uncertainty, how to generate a composite measure, and how to create maps in ArcGIS Online. These training modules assume some experience using ArcGIS Desktop.
This GIS training curriculum was developed by the Children’s Environmental Health Initiative in partnership with the U.S. Centers for Disease Control and Prevention, Division for Heart Disease and Stroke Prevention.
The Children’s Environmental Health Initiative (CEHI) is a research, education, and outreach program committed to fostering environments where all people can prosper. CEHI has developed, maintains, and extends an extensive fully spatially referenced data architecture on children’s environmental health. This makes it possible to jointly consider diverse variables collected by different disciplines, creating the opportunity to explore the complex and dynamic relationships among the components of health.