Universität Wien
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300345 VU Digital Spatial Analyses (2024W)

GIS 2 (Spatial Analysis)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Continuous assessment of course work
REMOTE
Moodle
We 22.01. 09:00-13:00 Digital

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. 30 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Attention: meetings are ALL online and mandatory!

Blended learning == live classes + a lot of self study in moodle and practical exercises/assignment in between! Schedule time for this work!

  • Wednesday 02.10. 10:00 - 11:00 Digital
  • Wednesday 04.12. 09:00 - 13:00 Digital
  • Thursday 05.12. 08:30 - 12:30 Digital
  • Wednesday 11.12. 09:00 - 13:00 Digital
  • Thursday 12.12. 08:30 - 12:30 Digital
  • Wednesday 18.12. 09:00 - 13:00 Digital
  • Thursday 19.12. 08:30 - 12:30 Digital
  • Wednesday 08.01. 09:00 - 13:00 Digital
  • Thursday 09.01. 08:30 - 12:30 Digital
  • Wednesday 15.01. 09:00 - 13:00 Digital
  • Thursday 16.01. 08:30 - 12:30 Digital
  • Thursday 23.01. 08:30 - 12:30 Digital
  • Wednesday 29.01. 09:00 - 13:00 Digital
  • Thursday 30.01. 08:30 - 12:30 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: Th 05.12.2024 09:46