Universität Wien

300345 VU Digital Spatial Analyses (2025S)

GIS 2 (Spatial Analysis)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
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. 15 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

All live classes are compulsory. Besides, plan plenty of time for self-paced work outside classes:
-preparation of theory (all content in the moodle course)
- working on exercises and assignments
During the course you will be supported by our student assistant the afternoons/evenings. These tutorial hours are optional. Attendence is not compulsory

  • Wednesday 05.03. 10:00 - 11:00 Digital
  • Monday 24.03. 09:00 - 13:00 Digital
  • Tuesday 25.03. 09:00 - 13:00 Digital
  • Wednesday 26.03. 09:00 - 13:00 Digital
  • Thursday 27.03. 09:00 - 13:00 Digital
  • Monday 31.03. 09:00 - 13:00 Digital
  • Tuesday 01.04. 09:00 - 13:00 Digital
  • Wednesday 02.04. 09:00 - 13:00 Digital
  • Thursday 03.04. 09:00 - 13:00 Digital

Information

Aims, contents and method of the course

Attention: this is an advanced course, you need to have basic skills in GIS!

The different topics include spatial data properties, spatial data models and data structures, data collection (GPS, open data), projection , data manipulation and presentation of spatial data. The lecture aims to show the students the important role of Spatial Analysis in all the different fields of environmental analysis, landscape planing, conservation biology and accordingly its human dimension.
The computer-based laboratory exercise will develop advanced and practical skills of handling spatial data in a specific GIS environment (QGIS). TWe will also use the commercial package ArcGIS Pro (ESRI).

Assessment and permitted materials

students have to work on a couple of exercises during the course and upload the results to moodle

Minimum requirements and assessment criteria

All assignments have to be uploaded and must be at least partly correct to pass the course!
Each assignment max 100 points - Average ist calculated without weights
85 - 100 Punkte Sehr gut
76 - 85 Punkte Gut
61 - 75 Punkte Befriedigend
56-60 Punkte Genügend
0-55 Punkte Nicht Genügend

Examination topics

Theory (see topics)
assignments
engagement during the course

Reading list

presented during the course

Association in the course directory

MNB2, MEC-9, MBO 7

Last modified: Tu 18.02.2025 11:27