G588: Applied Spatial Statistics
Introduces concepts of traditional statistical analysis and extends them to include spatial data. Topics include statistical graphics, descriptive statistics, inferential statistics, correlation and regression analysis, spatial means and spatial variances, point-pattern analysis, spatial autocorrelation, and elementary geostatistics. The emphasis is on developing analytical skills with practical applications in geography and the spatial sciences.
Semester(s) Offered: Fall
Instructor: Scott Robeson - email@example.com
Other Contact(s): Scott Robeson - firstname.lastname@example.org
Sequence: G589 Advanced Geospatial Data Analysis is designed to follow this class
Algebra Required?: None
Calculus Required?: None
Day(s) per week offered: 1 lecture and 1 computer lab exercise per week
Recommended follow-up classes: G589 Advanced Geospatial Data Analysis
Substantive Orientation: Environmental and social sciences
Books used: Burt, J. E. and G. G. Barber (2009) Elementary Statistics for Geographers, 3rd ed. Guilford Press, NY.
Applied/Theoretical: Applied but emphasizing mathematics-based interpretation
Formal Computing Lab?: Yes
Software Used: MiniTab
How the software is used: Data analysis
Problem Sets: No
Data Analysis: Yes, weekly exercises in computer lab.
Presentations: Final project.
Exams: Yes, mid-term and final.
Keywords: spatial, graphics, sampling, correlation, regression, bivariate