A comprehensive course to explore fundamentals related to statistics focused on spatial data analysis. Through cutting-edge methods and techniques, students will learn how to predict and infer spatial patterns effectively. Also, designed to be undertaken with R, a command line-driven program, free of charge, with powerful statistical and spatial analytical packages.
Further information can be found in TuCaN
or in the Master Module Handbook of the Department of Civil and Environmental Engineering.
Lecturer: Ph.D. Felipe De Souza
Language: English
Event period: WiSe
Semester week hours: 3
Credit Points: 6
Examination: written
Study programs: M.Sc. UI, M.Sc. BIC, M. Sc. GG, M.Sc. SUD