Universität Wien

300345 UE Digital Spatial Analyses (2018S)

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

The meeting on March 1st is compulsory!
ATTENTION: there will be 3 more dates for the practica fixed at the meeting!

  • Thursday 01.03. 10:00 - 11:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Monday 19.03. 10:30 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 20.03. 10:30 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 21.03. 10:30 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Thursday 22.03. 10:30 - 16:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Friday 23.03. 10:30 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Thursday 05.04. 10:30 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Friday 06.04. 10:30 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 25.04. 10:30 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Thursday 26.04. 10:30 - 16:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Friday 27.04. 10:30 - 17:00 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

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

Wird während des Kurses vorgestellt

Association in the course directory

MNB W-4, B-WZB, WZB

Last modified: Mo 07.09.2020 15:43