This training introduces several useful pieces of analytical GIS functionality with health applications including: geocoding, spatial joins, and essential geoprocessing tasks like clip, buffer, and project. Each module includes a lecture, a hands-on exercise using ArcGIS, and the data needed to complete the exercise. You must have access to ArcGIS Desktop in order to complete this training series.
Module 2.1: Leveraging the Where of Geographic Data
Goals: The goals for this exercise are to gain experience performing spatial joins and selections and to review your understanding of spatial data projections.
Skills: After completing this exercise, you will be able to spatially join a point dataset (businesses of interest) to a polygon dataset (census tracts). This is a useful method for the enumeration of points within polygons: i.e. what is the count for points of interest within geography of interest?
Goals: The goal of this exercise is to learn how to add fields and manipulate data to better manage the attribute information stored in shapefile dbfs.
Skills: After completing this exercise, you will be able to use the editor toolbar, add fields to tables, and use the Field Calculator to populate fields.
Goals: The goal for this exercise is to examine metadata as an item description in ArcMap to assess the quality, provenance, and use constraints of a dataset.
Skills: After completing this exercise, you will be familiar with examining and editing metadata.
Goals: The goal of this exercise is to understand how to use geoprocessing tools in ArcGIS.
Skills: After completing this exercise, you will be able to use the Merge, Project, Dissolve, Clip, and Buffer tools to perform basic geoprocessing tasks in ArcGIS.
This GIS training curriculum was developed by the Children’s Environmental Health Initiativein 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.
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