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
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