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Simple and effective tools for the analysis of movement data

Project description

MOVEKIT

Simple and effective tools for the analysis of movement data

Movekit is a open-source software for the analysis of movement data. The package includes modules for:

  • Preoprocessing (remove duplicates, interpolation,...)
  • Feature extraction (speed, detect stops,...)
  • Statistical (Average speed, autocorrelation,...) analysis.

Installation

The easiest way to install movekit is by using pip :

pip install movekit

Movekit requires Python 3.5 or newer and:

  • Pandas (>=0.20.3,<=0.23.4)
  • SciPy (>= 1.3.1)
  • tsfresh (>= 0.12.0)
  • xlrd (>= 1.2.0)
  • seaborn (>= 0.9.0)

Usage

You can view a demo of common features in this this Jupyter Notebook.

Development

Movekit Development Status is 2-Pre-Alpha

For an overview of version changes see the CHANGELOG.

Please submit bugs or feature requests to the GitHub issue tracker here.

License

This project was funded by the DFG Centre of Excellence 2117 "Centre for the Advanced Study of Collective Behaviour" (ID: 422037984). See the LICENSE file for details

Copyright 2019 © University Konstanz - Data Analysis and Visualization Group

Project details


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