peanutbutterc / movinpy

MovinPy is python library that can be used to process and analyze mobility data.

MovinPy

The MovinPy project aims at creating a python library that can be used to process and analyze mobility data. MovinPy library includes a set of well documented and user friendly functions, since ease of use and expandability are top priorities of this project. The objective is that upon project completion, the end user will be able to use this library to clean, transform and analyse trajectory data, a process that will enhance his/her understanding of the dataset at hand and prepare the dataset as input for further processing and analytics / machine learning tasks (classification / prediction, etc.).

Installation

Install the dependencies included with the following command

pip install -r requirements.txt

Documentation

The file documentation.pdf contains a detailed description of the MovinPy library.

Contributors

George S. Theodoropoulos, Yannis Theodoridis; Data Science Lab., University of Piraeus.

Acknowledgement

Acknowledgement: Research funded by the 2018 National Funds Programme of the General Secretariat of Research and Technology (GSRT), Greece.