Universität Wien
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290133 SE Introduction to Natural Hazards and Geostatistical Modelling (2024W)

10.00 ECTS (3.00 SWS), SPL 29 - Geographie
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Week 1 -- 1st Half (80 minutes) -- 2nd Half (80 minutes)
Day 1 -- Intro disaster risk research (DRR) -- DRR terminology (UN vs IPCC)
Day 2 -- Multi-hazard concept processes -- Real world examples of hazards
Day 3 -- Regression analyses theory (in R) -- Regression an. example wildfires
Day 4 -- Time series analyses theory -- Sea-level-rise (SLR) example (in MATLAB)
Day 5 -- Outlier analyses (SLR in MATLAB) -- Outlier analyses (SLR in MATLAB)

Week 2 -- 1st Half (80 minutes) -- 2nd Half (80 minutes)
Day 6 -- Geospatial data -- Geospatial empirical modelling
Day 7 -- TopoToolBox (in MATLAB) -- TopoToolBox (in MATLAB)
Day 8 -- Spatial data analyses (in MATLAB) -- Spatial data analyses (in MATLAB)
Day 9 -- Susceptibility analyses (Landslides in MATLAB) -- Susceptibility analyses (Landslides in MATLAB)
Day 10 -- Susceptibility analyses (Landslides in MATLAB) -- Evaluation metrics (in MATLAB)

  • Monday 02.12. 09:30 - 12:30 Seminarraum Geochemie 2C193 1.OG UZA II
  • Tuesday 03.12. 09:30 - 12:30 Seminarraum Geochemie 2C193 1.OG UZA II
  • Wednesday 04.12. 09:30 - 12:30 Seminarraum Geochemie 2C193 1.OG UZA II
  • Thursday 05.12. 09:30 - 12:30 Seminarraum 2A310 3.OG UZA II
  • Friday 06.12. 09:30 - 12:30 Seminarraum 2A310 3.OG UZA II
  • Monday 27.01. 09:30 - 12:30 Hörsaal 4C Geographie NIG 4.OG C0409
  • Tuesday 28.01. 09:30 - 12:30 Hörsaal 4C Geographie NIG 4.OG C0409
  • Wednesday 29.01. 09:30 - 12:30 Seminarraum Geochemie 2C193 1.OG UZA II
  • Thursday 30.01. 09:30 - 12:30 Hörsaal 4C Geographie NIG 4.OG C0409
  • Friday 31.01. 09:30 - 12:30 Hörsaal 4C Geographie NIG 4.OG C0409

Information

Aims, contents and method of the course

The lecture provides an introduction to geohazards and spatial statistical methods, bridging theoretical foundations with practical applications. Over two weeks, participants will explore disaster risk research (DRR), hazard process analyses, and geospatial modelling techniques. The course will use statistical tools like regression and time series analysis in R and spatial modelling in MATLAB, enabling students to critically assess and visualize geospatial data.
The first week focuses on fundamental concepts of disaster risk and statistical modelling, while the second week integrates spatial analyses with geohazard applications, leading to a comprehensive understanding of susceptibility assessments and evaluation metrics.

NOTE: Students can purchase the MatLab License, as well as other licenses, via AcadCloud for 5€: https://academic.softwareone.com/#/UniWien_Studierende/products/e50b947f-460c-44df-9415-ea890cf54f3e
Detailed instructions on installation and licensing can be found here: https://academic.softwareone.com/#/UniWien_Studierende/products/e50b947f-460c-44df-9415-ea890cf54f3e

Assessment and permitted materials

50% In-Class Performance (requires additional reading, 20 hours):
This includes group work and participation, assessed with consideration of each student’s initial skill level. For example, a student who progresses from an initial skill level of 0% to a performance level of 50% by the end of the course will receive a higher evaluation than a student who starts at 70% and only reaches 80% by the end.

30% Time-Series Trend Analysis (additional 25 hours out-of-class):
An assessment will take place at the end of the first week, focusing on the students' ability to conduct a time-series trend analysis.

20% Final Report on Susceptibility Modeling (additional 25 hours out-of-class):
The final report should include: a documented code, a figure representing the final results, success metrics to evaluate the model’s effectiveness.

Minimum requirements and assessment criteria

Minimum requirement:
- regular attendance (minimum 80%)
- all parts need to be positiv evaluated

Grading key:
>=90 Points: excellent
77-89 Points: good
66-76 Points: okay
55-65 Points: sufficient
< 55 Points: not sufficient

Examination topics

It will be agreed upon individually.

Reading list

For general knowledge:
https://www.sciencedirect.com/science/article/pii/S2590332221001792
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JC013906
https://link.springer.com/article/10.1007/s10346-020-01485-5

Association in the course directory

(MG PF / APF-SURFSPEC)

Last modified: Th 09.01.2025 12:27