I hold a Bachelor’s degree in Human Geography and am a current MSc Candidate in Applied Geoinformatics at the Department of Geoinformatics, Z_GIS, University of Salzburg, Austria. My current main interest is movement data analysis. This website documents various projects in the field of geoinformatics I have worked on.

Contextual Trajectory Modeling and Analysis

Master Thesis in Applied Geoinformatics

My thesis investigates data models for context-aware movement data analysis and is currently still in progress. Here is some general information. For more details please stay tuned. Movement data analysis plays an important role in different domains and applications, from transport to ecology. Due to advances in positioning technology, today problems of data scarcity largely belong to the past. Movement data is collected on unprecedented scales and with increased accuracy and its analysis has become an important sphere of interest in GIScience. [Read More]

My Thesis Setup with Markdown, Pandoc and Latex

I really like Markdown and use it basically for everything I write. Here’s a few reasons: The syntax is simple and intuitive and let’s you structure your text just by typing. It’s lightweight: No huge odt or docx files, but just simple text files (with the md file extension) It can be edited in any text editor (but is especially fun with realtime preview editors such as Marktext or Typora). [Read More]

Travel Mode Detection based on GNSS Trajectories and Heart Rate Data from Fitness Watches

I3 Integrated Project

The I3 Integrated Project is a major project to be completed at the end of the Master’s program. My colleague P. Stutz and I had the great opportunity to conduct this project as a contribution to the GISMO Research Project (Geographical Information Support for Healthy Mobility), led by the Department of Geoinformatics, Z_GIS at the University of Salzburg. Based on the trip-to-work data of study participants, we developed a method for the detection of the travel modes walk, bike, bus, train and car, based on the combination of GNSS and heart rate data. [Read More]

Python Toolbox to Automate AOI Creation for Image Ordering

Integrated Project - Geo-Application Development

When ordering VHR satellite imagery, the MSF.InfoServices at the Department of Geoinformatics, Z_GIS relies on submitted KML files for delineating the area of interest (AOI). The minimum order size when ordering imagery is 25 km² and much time has to be spent on: converting the KML file into shapefiles, measuring the area, and possibly re-sizing the AOI to meet the area requirement. Through developing a tool integrated in ArcGIS using a python toolbox, the project aimed at automating and improving this workflow. [Read More]

Concept for a Spatial Learner Analytics Tool for MOOC Instructors

Geovisual Analytics Project

Geovisual Analytics refers to the science of analytical reasoning using interactive geographic visualization interfaces. (Geo)visual analytics systems are typically realized in the form of interactive dashboards with several data visualization views such as diagrams or maps, that allow selection and highlighting across all views. In the course Geovisual Analytics my colleagues C. Werner, A. Kovács-Győri, P. Heim and me developed a concept for a spatial learner analytics tool to support instructors of Massive Open Online Courses (MOOCs) in understanding students’ learning progress and identifying difficult course content. [Read More]

Visual Analytics Dashboard for Analysis of Road Incidents

Big Data Project

For the course Big Data: Introduction and Data Analytics my colleague P. Stutz and I created a visual analytics dashboard for interactive analysis of road incidents in the Dutch road network in the years 2010 until 2015. The raw data contained fields on the type of incident, time, the coordinates of the incident location, the street, lane and respective hectometer at which the incident happened. Also information about on the reason for the incident (e. [Read More]

Dynamic Publishing of Atmospheric Data and Visualization on a Virtual Globe

Integrated Project - Spatial Data Infrastructures

For the Integrated Project: Spatial Data Infrastructures (SDI) my colleagues H. Augustin, A. Lang and I conducted a project titled Global Environment Information System (GEISt). We implemented a system to fetch, display and publish selected parameters from the Copernicus Atmosphere Monitoring Service (CAMS). The input data in the raster GRIB file format was automatically fetched, transformed, and loaded data into a PostgreSQL/PostGIS-enabled database every 12 hours as it was made available. [Read More]