Spatial Analysis I: GIS for Public Health (340.696)
Examines the use of ArcGIS Geographic Information System (GIS) software as a tool for integrating, manipulating, and displaying public health-related spatial data. Covers mapping, geocoding, and manipulations related to data structures and topology. Introduces the spatial science paradigm: Spatial Data, GIS, and Spatial Statistics.
Spatial Analysis II: Advancing Spatial Technologies (340.697)
Technologies for obtaining, collecting and creating spatial data continue to advance; use of tracking devices, cell phones and satellite imagery such as Google Earth are advancing and becoming widespread. Learn how these technologies have broadened and enhanced the field of spatial analysis in public health research and practice.
Spatial Analysis III: Spatial Statistics (140.698)
Introduces statistical techniques used to model, analyze, and interpret public health related spatial data. Analysis of spatially dependent data is cast into a general framework based on regression methodology. Topics covered include the geostatistical techniques of kriging and variogram analysis and point process methods for spatial case control and area-level analysis.
Spatial Analysis IV: Spatial Design and Application (140.699)
Expands students’ abilities to design, conduct and report the results of a complete public health related spatial analysis. Focuses on further developing and integrating components of the spatial science paradigm, Spatial Data, GIS and Spatial Statistics.
Epidemiologic Applications of GIS (340.701) (ONLINE COURSE)
Presents the methods and uses of epidemiology towards the development and application of Geographic Information Systems (GIS) in public health. Emphasizes the potential of GIS as an epidemiological analysis tool for describing the magnitude of priority health problems, identifying health determinants and supporting health decision-making.