GEOG
526: Geospatial Data Analysis
Spring
Quarter 2015
Monday
2:30 to 5:30
sln 14665
Professor Suzanne Davies Withers
Department
of Geography
Smith
012
Phone:
206-616-9064
Course
Overview
This course provides a conceptual
and practical introduction to spatial data analysis and geographic information
systems in geographic research. The goal is to provide a practical
understanding of the application of spatial data analysis to geographic problem
solving. Emphasis is placed on the appropriate selection of methods to analyze
geographic data, procedures for research design, and interpretation of research
findings. Students will gain practical experience through assignments that
require the application of spatial data analysis to specific geographic
research questions using statistical and GIS software. Topics include
fundamental spatial data analysis such as buffers, overlay and distance
operations, descriptive and inferential spatial statistics, spatial pattern
analysis and spatial autocorrelation, global and local spatial measures,
regression analysis and geographically weighted regression, kriging and
interpolation, and agent-based models. No prior GIS experience required.
Open to seniors with permission of instructor.
