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src=\"media/network.png\" height=150px\u003e\n    \u003cimg src=\"media/movement.png\" height=150px\u003e\n    \u003cimg src=\"media/movebank.png\" height=150px\u003e\n    \u003cimg src=\"media/clustering.png\" height=150px\u003e\n\u003c/p\u003e\n\n\n`movekit` is an open-source software package for the processing and analysis of movement data.\n\n__`movekit` supports different tasks:__\n\n* Data pre-processing\n  * Clean data (remove duplicates, drop missing values, etc.)\n  * Normalize and filter the data\n  * ...\n* Feature extraction:\n  * Extract different features such as the distance covered, average speed, the average acceleration, etc. \n  * Apply time series analysis on these extracted features\n  * Check different distances (euclidean \u0026 hausdorff) between movers\n  * Detect outliers in data\n  * ...\n* Group-level analysis\n  * Calculate centroids and medoids of the group of movers for different time steps\n  * Compute polarization of movers\n  * Identify different clusters/groups\n  * Obtain dynamic time warping of all mover trajectories \n  * ...\n* Spatial data analysis:\n  * Create convex hull, voronoi diagram and delaunay triangulation for all movers at each time step\n  * Extract areas of the created objects\n* Network analysis with networkX\n  * Create networks created for each time step and examine their attributes (centroid, polarization, total distance, mean speed, ...)\n  * Investigate individual nodes of each time steps network graph\n  * Investigate individual edges of each time steps network graph\n  * Track development of network graphs over time\n  * ...\n* Plotting analysis results:\n  * Create basic plots for features such as acceleration or speed\n  * Plot movement of movers in static or animated images\n  * Create interactive map to plot geo data\n\n`movekit` provides support for movement data and trajectories in different format:\n\n__Data:__\n\n* 2-dimensional data in the Euclidean space\n* 3-dimensional data in the Euclidean space\n* GPS coordinates (latitude and longitude)\n* Data with different time formats\n* Data in (Geo)JSON format\n* Data from Movebank data base\n\n---\n\n## Installation\n\nThe easiest way to install *movekit* is by using `pip` :\n\n    pip install movekit\n\n---\n\n## Docs \u0026 Demo\n\nThe following website contains the [documentation](https://movekit.readthedocs.io/en/latest/)\n\nYou can view a demo of common features here:\n[Jupyter Notebooks](examples/).\n\n---\n\n### License\n\nReleased under a GNU General Public License. See the [LICENSE](LICENSE) file for details. List of [Authors](AUTHORS.rst)\n\nThe package is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2117 – 422037984.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdbvis-ukon%2Fmovekit","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdbvis-ukon%2Fmovekit","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdbvis-ukon%2Fmovekit/lists"}