Johns Hopkins University 3 credits Geographic Information Systems
This course introduces the fundamentals of computational statistics in spatial sciences, focusing on computational spatial statistics' essentials using the R programming language. The methodological focus of this course is on applications of Bayesian analysis to solve spatial problems. Introductory ideas on working with the R data frame and spatial data representation are covered. The course's thematic focus is on integrating R and GIS for solving problems that pertain to critical zone geoscience. Students will complete projects on computational spatial statistics applications to problems at the intersection of Earth systems and human-driven systems. Offered once a year. Prerequisites: 430.604 Spatial Analytics Prerequisite(s): You must enroll in AS.430.604 before you can enroll in AS.430.637.
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