PTRAIL - A python package for parallel trajectory data preprocessing
Trajectory data represent a trace of an object that changes its position in space over time. This kind of data is complex to handle and analyze, since it is generally produced in huge quantities, often prone to errors generated by the geolocation device, human mishandling, or area coverage limitation. Therefore, there is a need for software specifi cally tailored to preprocess trajectory data. In this work we propose PTRAIL, a python package o ring several trajectory preprocessing steps, including ltering, feature extraction, and interpolation. PTRAIL uses parallel computation and vectorization, being suitable for large datasets and fast compared to other python libraries.
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