300469 UE Management and analysis of spatial Data - GIS III (2022W)
Programming in ArcGIS, QGIS and R (Spatial Analysis)
Continuous assessment of course work
Labels
MIXED
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 is open from Th 08.09.2022 14:00 to Th 22.09.2022 18:00
- Deregistration possible until Mo 31.10.2022 18:00
Details
max. 15 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
if possible the course will be at the Seminar room at the Rennweg; in case of a lockdown it will be online
- Tuesday 04.10. 10:00 - 11:00 Digital
- Monday 28.11. 09:00 - 16:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Tuesday 29.11. 09:00 - 16:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 30.11. 09:00 - 16:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Thursday 01.12. 09:00 - 16:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Information
Aims, contents and method of the course
Assessment and permitted materials
Positive evaluation requires regular presence and active work during the course.
Participants will work in groups of two. Each group will have its own 'project'. Evaluation will be based on work during the course on the evaluation of the produced scripts and on a final programming exercise.
Participants will work in groups of two. Each group will have its own 'project'. Evaluation will be based on work during the course on the evaluation of the produced scripts and on a final programming exercise.
Minimum requirements and assessment criteria
Regular presence and participation (20%), scripts produced during the course (60%), final programming exercise (20%)
Examination topics
Reading list
Association in the course directory
MEC-9, M-WZB, MBO 7, MEC-5, MNB2
Last modified: Th 11.05.2023 11:28
The course will introduce to scripting and customising of ArcGIS and QGis and to basic GIS capabilities in R. The main aim of the course is teaching automatization and speeding up GIS workflows. The course will combine introductory lectures with practical work. Lectures will introduce in programming basics and concepts (Python and R). Practical work will include vector data manipulation, mapping automatization, raster data processing, creation of toolboxes and a usage of web map services. Similar workflows will be run through on different platforms and interfaces.