Indiana University Bloomington

Geography G588
Applied Spatial Statistics

Contact: Scott Robeson (srobeson@indiana.edu) 2012-10-29
Offered: Fall, Every Year
Capacity: 25
Sequence: G589 Advanced Geospatial Data Analysis is designed to follow this class
Pre-Requisites: None.
Algebra Required: None.
Calculus Required: None.
Contact Person for Authorization: None
Instructor: Scott Robeson
Days Per Week Offered: 1 lecture and 1 computer lab exercise per week
Recommended follow-up classes: G589 Advanced Geospatial Data Analysis
Syllabus: No Syllabus Avaliable
Keywords: spatial, graphics, sampling, correlation, regression, bivariate
Description: 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.
Books: Burt, J. E. and G. G. Barber (2009) Elementary Statistics for Geographers, 3rd ed. Guilford Press, NY.
Substantive Orientation: environmental and social sciences
Applied/Theoretical: Applied but emphasizing mathematics-based interpretation
Formal Computing Lab: Yes
Software: MiniTab
How Software is Used: Data analysis.
Problem Sets: No.
Data Analysis: Yes, weekly exercises in computer lab.
Presentation: Final project.
Exams: Yes, mid-term and final.
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