suggested by: Gudrun Wallentin
Prerequsites/qualification
Interest in the topic. On-site involvement in the revitalisation activities isn't necessary, but possible and highly welcome.
suggested by: Gudrun Wallentin
suggested by: Gudrun Wallentin
suggested by: Gudrun Wallentin
Assoz Prof Dr Hermann Klug (hermann.klug@plus.ac.at)
The given topic is related to spatial analysis in the domain of mountainbiking. Within mountainbike sports, pump tracks became increasingly popular and have recently been established in many regions. Among them are two local pump tracks; one in Wals Siezenheim and one in Koppl. In Koppl, a recent drone flight has been organised to capture the pumptack in very high-resolution pictures. The numerous pictures should be used to create a very high-resolution digital elevation model (cm resolution) with e.g. Agisoft PhotoScan. Afterwards, the pump track should be analysed according to spatial parameters. A representation as a representative 3d model accessible via a web browser would also be an option.
o Hypothesis: The ideal riding line on a pump track depends on parameters like bike wheel/bike size (e.g. 29"), riding speed, radius/curvature, bike angle to the underground, and centrifugal forces. This riding line can be retrieved automatically from a digital elevation model (DEM) using eCognition rulesets!
o Question: What is the ideal riding line at maximum speed on the pump track with a 29" bike?
Interest in (automated) raster based spatial analysis and solid knowledge in geoinformatics. Particular interest should be available in working with aerial pictures and digital elevation models. Knowledge with Agisoft PhotoScan and eCognition would be good, but is not mandatory.
Any time
Suggested by: Martin Loidl
Short description: The
positive functions of ecosystems-services (ES) and nature-based solutions (NSB)
regarding livability, health and climate effects are undisputed and therefore
at the core of cities’ strategies to adapt to global warming, compact
urbanization, risk of respiratory disease and obesity. However, aspects of
social justice are hardly explicitly considered in sustainable urban
development strategies.
In a first
step, we are interested in analysing the access of every household in an
exemplary city (or several cities) to green and blue space. Moreover, we want
to learn whether the access is evenly distributed or spatially clustered. These
insights can then be further contextualized in the socio-economic landscape of
the city.
Research for this master thesis should address one or more of the following questions (but is not limited to):
References, suggested reading:
Start/finish: anytime
Prerequisites/qualifications: Interest in planning and mobility research as well as in advanced spatial (network) analysis. Data management and analysis skills are ultimately required. Scripting and coding skills are benefitial.