300345 VU Digital Spatial Analyses (2022W)

GIS 2 (Spatial Analysis)

Continuous assessment of course work

REMOTE

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 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: German

Lecturers

Ingrid Kleinbauer

Classes (iCal) - next class is marked with N

Attention: meetings are ALL online only!

    
    Wednesday
    05.10.
    10:00 - 11:00
    Digital
    
    Wednesday
    11.01.
    09:30 - 13:00
    Digital
    
    Wednesday
    18.01.
    09:30 - 13:00
    Digital
    
    Wednesday
    25.01.
    09:30 - 13:00
    Digital
    
    Wednesday
    01.02.
    09:30 - 13:00
    Digital
    
    Tuesday
    14.02.
    09:30 - 13:00
    Digital
    
    Wednesday
    15.02.
    09:30 - 13:00
    Digital
    
    Thursday
    16.02.
    09:30 - 13:00
    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 (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! A minimum of 3/4 of the exercises 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

Reading list

presented during the course

Association in the course directory

MNB2, MNB W-4, MEC-9, MBO 7

Last modified: Th 11.05.2023 11:28