Integration with PTRAIL for feature extraction

[gabrielspadon]

AISdb is a system that is used to store and query sequential spatio-temporal data, specifically trajectory data. However, in order to perform statistical and machine learning tasks, we need additional information that is not provided by AIS alone. I strongly believe that integrating PTRAIL (https://github.com/YakshHaranwala/PTRAIL) with AISdb through either a code integration or a new tutorial on GitBook would greatly benefit users. PTRAIL is a Python package that can extract features from trajectory-like data, and AIS data can be effectively utilized for machine learning and deep learning tasks with the help of PTRAIL. This package can extract a variety of features out of the box and make modeling and learning tasks easier to perform. Additionally, PTRAIL can work with any type of trajectory data, further increasing its usefulness. PTRAIL was developed under Memorial University and was published in SoftwareX Journal, they do have a bunch of examples that we would benefit from having them working with AIS data: https://github.com/YakshHaranwala/PTRAIL/tree/main/examples.