In my project “Trajectory Analytics Toolbox”, I will be creating a general-purpose trajectory analytics toolbox in R. See my first blog post for more background information.
There have been many packages in R developed for handling trajectory data, however each package is limited to a specific domain and does not provide functionality for general purpose trajectory analysis and visualization. This Google Summer of Code 2020 project aims to generalize trajectory analysis and visualization by creating a package named traviz.
Trajectory analysis has a wide range of applications in various fields such as geoscience and social science. Use cases span across mobile phone users (see image below) e.g. for commuting analysis, ship and flight paths or animal tracking. With the avalanche of GPS-annotated data in the past few years capturing such data became much easier, so today there is a need for tools that are specifically tailored for analyzing large-scale trajectory data (example).
R, as a software environment for statistical computing and graphics, has been favored by researchers from various disciplines for its free access, rich statistical methods, and easy-to-share features. However, the classes and methods specifically developed for trajectory analysis are limited and domain-orientated in R. This project intends to address this issue by implementing and improving generic classes and methods for trajectory analysis.more >