Trajectory analysis

suggested by: Gudrun Wallentin

Background 

This spatial data science project works with a large GPS dataset of >60,000 cattle locations that were collected over four years on a pasture close to Salzburg. The data is modelled in a postgres database. However, before it can be used for analysis it needs to be pre-processed, checked for validity, and complemented with further relevant variables.

Short description

This thesis aims to analyse social movement of cattle on a pasture by means of the MovingPandas python library, developed by Anita Graser. The main analytical focus is to evaluate, how separate trajectories related to each other. Beyond the analysis of interaction, the cattle's location shall be correlated with potential predictors like time of the day, elevation, land cover, weather, vegetation intensity, proximity to water, or the seasonal state.

 

Suggested reading

MovingPandas repository: https://anitagraser.github.io/movingpandas/ 

Start

anytime

Prerequsites/qualification
Interest in the topic. On-site involvement in the revitalisation activities isn't necessary, but possible and highly welcome.