On September 25th 2023 the Data Science Initiative organized a symposium on Spatiotemporal Analysis in cooperation with the Institute of Wildlife Biology and Game Management (IWJ)


1st Session 14:00 - 15:30 

14:00  Opening 

14:05  Brady Mattsson, Matthias Amon, Paul Griesberger, Jennifer Hatlauf, 
           Fabian Knufinke, Florian Kunz, Sophie Nöbauer, Eva Schöll, Jendrik Windt
           (Institute of Wildlife Biology and Game Management):  
           Of fur and feather through space and time: selected topics  

15:00  Johannes Laimighofer (Institute of Statistics):  
           Space-time prediction models for low-flow - from black box to statistical learning models 

15:15  Vinzent Klaus (Institute of Meteorology and Climatology):  
           Detecting hail and storm updrafts in weather radar data 

Coffee Break 15:30 - 16:00 

2nd Session 16:00 - 17:15 

16:00  Rafaela Schinegger, Georg Gruber (Institute of Landscape Development,
           Recreation and Conservation Planning),
           Carina Seliger (Institute of Hydrobiology and Aquatic Ecosystem Management): 
           Riparian zones - a key factor in conservation efforts for terrestrial and freshwater biodiversity.
           A case-study from the EU NaturaConnect project in the Danube-Carpathian Region 

16:15  Valentin Lechner (Institute of Safety and Risk Sciences):  
           The FlyDriveMod 

16:30  Karsten Schulz (Institute of Hydrology and Water Management):  
           Scale problems and uncertainties in regionalization of soil hydraulic properties in Austria 

16:45  Karolina Taczanowska (Institute of Landscape Development, Recreation and Conservation Planning):  
           Tracking Outdoor Tourism and Recreation - exploration, visualization and modeling of
           spatiotemporal vistor data 

17:00   Closing 

Networking 17:15 – open end 

For more information (mailing list, forums, contact), please visit: https://short.boku.ac.at/datascience 

Note: You are currently not logged in to BOKUweb

Note: You are currently not logged in to BOKUweb

To view access-protected content on this page, please click on the login button in the upper right corner and log in with your usual BOKU credentials.

If you as an employee are not authorized to log in,
please contact the
IT managers / EDV-Verantwortliche of your organizational unit.