Mein Portfolio

Visual Analytics in Traffic Data Analysis: Development and Evaluation of Tools for the Investigation of Temporal Patterns of Traffic Accident Data

Visual Analytics COVID19 Development of a dashboard for the investigation of COVID19 and age structure

What I have learned while going through the Jupyter Notebooks from Coperniicus Marine Service.

This is a small project where computer vision is used to classify various elements from OpenStreetMap maps. The whole project was implemented in a JupyterNotebook.

Nils Holgerrsons journey as interactive maps

Norway offers really great elevation data at https://hoydedata.no/LaserInnsyn/, which I took as an opportunity to make a small project in ArcGIS Pro. The study area is the southern tip of the Lofoten Islands. For this purpose I exported the area in ArcGIS Pro as a layout and to cut my data afterwards I wrote a small Python script, which creates a line layer. This layer contains a polyline, that delimits the previously selected area. I then trimmed the 1m LIDAR DEM data using the polyline. The

This is a small project to calculate the NDVI in Python. For this I used the EarthPy data subset naip-fire-crop. This dataset contains NAIP data for the Cold Springs Fire study area in Colorado. NAIP stands for National Agriculture Imagery Program, they collect aerial imagery during the agricultural growing season in the continental US. NAIP imagery is often taken using only the red, green, and blue bands, but some include the infrared band as well.

Have you always wondered how geospatial data sounds? This app converts the color values of images into a sound.

Da ich viel mit Daten arbeite, sie auswerte und visualisiere, dachte ich, dass es auch spannend wäre, Daten über mich selbst zu veranschaulichen. Dies ist ein erster Versuch, dies zu tun. Zu diesem Zweck habe ich meinen Lebenslauf mit einem Sankey-Diagramm von Plotly visualisiert.