The analysis of spatial data has become increasingly important in various fields of application ranging from astronomy and criminology to urban economics and the analysis of zoonotic diseases. This seminar will provide a rigorous treatment of the three main types of spatial data and cover the statistical theory and methodology for (1) geostatistical data (e.g. data recorded at weather stations), (2) areal data (e.g. data at ZIP units), and spatial point patterns (e.g. the locations of tree stands). Apart from classic spatial data settings, particular interest will also be placed on modern developments with spatial data on network structures (e.g. car accidents) as well as non-scalar spatial informations (e.g. spatial functional data). Organizational matters: The seminar is restricted to a maximum of 20 participants. Part of the seminar is an ungraded presentation. The course Multivariate Statistical Analysis, Econometric Methods and good programming skills in R are required as a prerequisite. Good knowledge in Survivial Analysis and/ or Time Series/ Stochastic Processes is recommended for this course. Registration matters and general introduction into the available topics will be present in the first meeting. If there are more registrations than places, the decision will be made according to the rules of the HU ZSP (lottery).
StO/PO MA 2016: 6 LP, Modul: "Research Seminar in Statistics"
StO/PO MEMS 2016: 6 LP, Modul: "Research Seminar in Statistics", Major: Quantitative Methods
Term paper (and an ungraded presentation)
