Universität Wien

290221 PS Methods of GIS-based Data Acquisition (2023S)

4.00 ECTS (2.00 SWS), SPL 29 - Geographie
Continuous assessment of course work

Summary

1 Rauscha , Moodle
2 Rauscha , 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).
Registration information is available for each group.

Groups

Group 1

max. 30 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 20.03. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Monday 27.03. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Monday 17.04. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Monday 24.04. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Monday 08.05. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Monday 15.05. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Monday 22.05. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Monday 05.06. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Monday 12.06. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Monday 19.06. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG

Group 2

max. 30 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 23.03. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Thursday 30.03. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Thursday 20.04. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Thursday 27.04. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Thursday 04.05. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Thursday 11.05. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Thursday 25.05. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Wednesday 31.05. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Thursday 15.06. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG
  • Thursday 22.06. 16:30 - 19:00 GIS-Labor Geo NIG 1.OG

Information

Aims, contents and method of the course

Based on examples participants will learn how the use the often complex tools of geographic information systems by using a desktop GIS (ArcView). Focus is laid on how to prepare spatial data for the use in a GIS (e.g. create spatial data and combine the geometry and statistical data) and visualize data in a cartographic way.Alternating lecture and applied work in the GIS laboratory. Gradually a GIS project is built with the associated data sets and finally visualized cartographically

Assessment and permitted materials

From the second unit there is at the beginning of each unit a short test.ParticipationExamination at the end of the semesterTerm paper

Minimum requirements and assessment criteria

After completion of the course participants should be able to:- explain about a projection and assign one to a dataset professionally- spatially reference an image- create a spatial database and fill it with data- carry out on their own and in the right way the necessary steps of data collection for a GIS project- visualize the results cartogaphically.

Examination topics

siehe Ziele und Inhalte der LV

Reading list

Tutorials und Skriptum via Moodle

Association in the course directory

(BA GG 5.1)

Last modified: Mo 08.05.2023 09:48