Universität Wien

300345 UE Digital Spatial Analyses (2019S)

GIS II (for advanced students)

4.00 ECTS (3.00 SWS), SPL 30 - Biologie
Continuous assessment of course work

ACHTUNG: Diese Übung setzt Basiskenntnisse in Theorie und Anwendung von GIS voraus! Sie ist mit der VO "Digitale Raumanalyse" 300029 gekoppelt, daher macht nur ein Besuch beider LV gemeinsam Sinn!
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

Preliminary meeting for the complete course will take place on March 5th at 10 am at SR, Rennweg 14 and is compulsory!!
ATTENTION: The complete course also includes the lecture "VO Digitale Raumanalyse" for which attendence is compulsory as well!

  • Tuesday 05.03. 10:00 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Monday 08.04. 10:30 - 14:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 09.04. 10:30 - 14:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 10.04. 10:30 - 14:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Thursday 11.04. 10:30 - 14:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Friday 12.04. 10:30 - 14:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 24.04. 10:30 - 14:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Thursday 25.04. 10:30 - 14:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Friday 26.04. 10:30 - 14:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Monday 29.04. 10:30 - 14:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 15.05. 09:00 - 14:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG

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 (ArcGIS). There will also be an introduction in the free and open source GIS-package QGIS.

Assessment and permitted materials

students have to work on a couple of exercises during the course and upload the results to moodle, a tutor will be at your side each course day from 2-5pm.

Minimum requirements and assessment criteria

All exercises have to be assigned! A minimum of 3/4 of the exercises must be at least partly correct to pass the course!

Examination topics

No extra exam!

Reading list

presented durcing the course

Association in the course directory

MNB W-4, WZB

Last modified: Mo 07.09.2020 15:43