After successful completion of the course, students are able to...

• apply presented methods of spatial data processing and spatial analysis,
• independently apply GIS knowledge related to data flow modeling (model builder), raster-based suitability assessment, creation of cost and distance surfaces, and network analysis.

Based on the knowledge acquired in the VU "Spatial Analysis with GIS" (Bachlor) as well as VU "Quantitative Analysis Methods in Spatial Research" (Master), more in-depth GIS knowledge and methods of spatial analysis are taught.

Contents taught (among others):

• Model-Builder (basics + in-depth)
• Basics of cost distance analysis
• Raster-based suitability assessment/site evaluation
• Network analysis (in-depth)
• Network-based selection of planning variants
• multimodal network analysis

• Introductory, practice-oriented lectures
• Exercises (individual work)
• Discussion and participation in the plenum
• Independent research
• Group and project work
• Presentation of results

Covid 19: according to the TU Wien guidelines this semester is going to be an "attendance semester". Please be aware of the corresponding standards and rules published at https://www.tuwien.at/en/tu-wien/corona. Eventually, short-term changes, including a 100% switch to online formats,  will be implemented.

Software: Both QGIS and ArcGIS Pro will be used. We recommend all participants take advantage of the option to buy and install an ArcGIS Pro annual license for the private PC (Windows) via TU.IT (contribution towards expenses 3 Euro). Details can be found here: http://www.sss.tuwien.ac.at/sss/agi/ 

Attention: for participating in the course you will need your individual windows-laptop !
In addition, the resources of the IT lab can be used to solve the exercises, or if you do not have Windows installed on your device!

The certificate of achievement is based on an individual assignment, two group assignments with short presentations, and a final oral discussion.

The knowledge taught in the course "280.780 Spatial Analysis with GIS" is assumed.
No basic knowledge is taught - the assumed level is correspondingly high.
Therefore we strongly recommend to repeat the contents in advance !