movekit is an open-source software package for the processing and analysis of movement data.

movekit supports different tasks:

• Data pre-processing
  • Clean data (remove duplicates, drop missing values, etc.)
  • Normalize and filter the data
  • ...
• Feature extraction:
  • Extract different features such as the distance covered, average speed, the average acceleration, etc.
  • Apply time series analysis on these extracted features
  • Check different distances (euclidean & hausdorff) between movers
  • Detect outliers in data
  • ...
• Group-level analysis
  • Calculate centroids and medoids of the group of movers for different time steps
  • Compute polarization of movers
  • Identify different clusters/groups
  • Obtain dynamic time warping of all mover trajectories
  • ...
• Spatial data analysis:
  • Create convex hull, voronoi diagram and delaunay triangulation for all movers at each time step
  • Extract areas of the created objects
• Network analysis with networkX
  • Create networks created for each time step and examine their attributes (centroid, polarization, total distance, mean speed, ...)
  • Investigate individual nodes of each time steps network graph
  • Investigate individual edges of each time steps network graph
  • Track development of network graphs over time
  • ...
• Plotting analysis results:
  • Create basic plots for features such as acceleration or speed
  • Plot movement of movers in static or animated images
  • Create interactive map to plot geo data

movekit provides support for movement data and trajectories in different format:

Data:

• 2-dimensional data in the Euclidean space
• 3-dimensional data in the Euclidean space
• GPS coordinates (latitude and longitude)
• Data with different time formats
• Data in (Geo)JSON format
• Data from Movebank data base

The easiest way to install movekit is by using pip :

The following website contains the documentation

You can view a demo of common features here: Jupyter Notebooks.

Released under a GNU General Public License. See the LICENSE file for details. List of Authors

The package is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC 2117 - 422037984.