Metadata-Version: 2.1
Name: movekit
Version: 0.1.13
Summary: Simple and effective tools for the analysis of movement data
Home-page: https://github.com/dbvis-ukon/movekit
Author: Lukas Weixkler, Arjun Majumdar, Eren Cakmak, Jolle Jolles
Author-email: lukas.weixler@uni-konstanz.de, arjun.majumdar@uni-konstanz.de, eren.cakmak@uni-konstanz.de, j.w.jolles@gmail.com
License: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Project-URL: Documentation, https://pyscaffold.org/
Description: # MOVEKIT
        
        **Simple and effective tools for the analysis of movement data**
        
        *Movekit* is an open-source software package for the processing and analysis of movement data, including modules for:
        
        - Data pre-processing (e.g. data checks, smoothing, duplicate removal, interpolation, outlier detection)
        - Feature extraction (e.g. speed, acceleration, heading)
        - Individual-level movement analysis (e.g. autocorrelation, speed distribution, environment exploration)
        - Group-level analysis (e.g. cohesion, polarisation, coordination, leadership)
        
        ## Installation
        The easiest way to install *movekit* is by using `pip` :
        
            pip install movekit
        
        ## Usage
        You can view a demo of common features in this
        [Jupyter Notebook](https://github.com/dbvis-ukon/movekit/blob/master/examples/demo.ipynb).
        
        ## Development
        For an overview of version changes see the [CHANGELOG](https://github.com/dbvis-ukon/movekit/blob/master/CHANGELOG.rst).
        
        Please submit bugs or feature requests to the GitHub issue tracker [here](https://github.com/dbvis-ukon/movekit/issues).
        
        ## License
        This package was developed by Eren Cakmak, Lukas Weixler, Arjun Majumdar, Jolle Jolles, and Daniel Keim from the [Data Analysis and Visualization Group](https://www.vis.uni-konstanz.de/) and the [Department of Collective Behaviour](http://collectivebehaviour.com) at the University Konstanz, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2117 – 422037984“
        
        Released under a GNU General Public License. See the [LICENSE](LICENSE) file for details.
Platform: any
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Requires-Python: >=3.5
Description-Content-Type: text/markdown; charset=UTF-8
Provides-Extra: testing
