PyVT: A toolkit for preprocessing and analysis of vessel spatio-temporal trajectories

In this paper, we introduce PyVT, an open-source Python toolkit for preprocessing and analysis of vessel spatio-temporal trajectories. The toolkit realizes four functions: trajectory preprocessing, trajectory data management, trajectory mining, and trajectory visualization. The toolkit is simple to...

Full description

Bibliographic Details
Main Authors: Ye Li, Hongxiang Ren, Haijiang Li
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:SoftwareX
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352711023000122
_version_ 1811166148175069184
author Ye Li
Hongxiang Ren
Haijiang Li
author_facet Ye Li
Hongxiang Ren
Haijiang Li
author_sort Ye Li
collection DOAJ
description In this paper, we introduce PyVT, an open-source Python toolkit for preprocessing and analysis of vessel spatio-temporal trajectories. The toolkit realizes four functions: trajectory preprocessing, trajectory data management, trajectory mining, and trajectory visualization. The toolkit is simple to use, provides satisfactory default parameter settings, and makes it easy for basic users to use and replicate its functionality in proprietary applications. More advanced users can further adjust the functions to meet their needs by optimizing parameters. At the same time, its design focuses on composability and reusability, making it functional modular and maintainable, allowing for further development.
first_indexed 2024-04-10T15:47:50Z
format Article
id doaj.art-d017681e0b9f4001a981446dfc2c0866
institution Directory Open Access Journal
issn 2352-7110
language English
last_indexed 2024-04-10T15:47:50Z
publishDate 2023-02-01
publisher Elsevier
record_format Article
series SoftwareX
spelling doaj.art-d017681e0b9f4001a981446dfc2c08662023-02-12T04:15:13ZengElsevierSoftwareX2352-71102023-02-0121101316PyVT: A toolkit for preprocessing and analysis of vessel spatio-temporal trajectoriesYe Li0Hongxiang Ren1Haijiang Li2Navigation College, Dalian Maritime University, Dalian, Liaoning 116026, China; Dalian Pilot Station, Dalian, Liaoning 116000, ChinaNavigation College, Dalian Maritime University, Dalian, Liaoning 116026, China; Corresponding authors.Collaborative Innovation Center for Transport Studies, Dalian Maritime University, Dalian, Liaoning 116026, China; Corresponding authors.In this paper, we introduce PyVT, an open-source Python toolkit for preprocessing and analysis of vessel spatio-temporal trajectories. The toolkit realizes four functions: trajectory preprocessing, trajectory data management, trajectory mining, and trajectory visualization. The toolkit is simple to use, provides satisfactory default parameter settings, and makes it easy for basic users to use and replicate its functionality in proprietary applications. More advanced users can further adjust the functions to meet their needs by optimizing parameters. At the same time, its design focuses on composability and reusability, making it functional modular and maintainable, allowing for further development.http://www.sciencedirect.com/science/article/pii/S2352711023000122Vessel spatio-temporal trajectoryPreprocessingAnalyticsPython
spellingShingle Ye Li
Hongxiang Ren
Haijiang Li
PyVT: A toolkit for preprocessing and analysis of vessel spatio-temporal trajectories
SoftwareX
Vessel spatio-temporal trajectory
Preprocessing
Analytics
Python
title PyVT: A toolkit for preprocessing and analysis of vessel spatio-temporal trajectories
title_full PyVT: A toolkit for preprocessing and analysis of vessel spatio-temporal trajectories
title_fullStr PyVT: A toolkit for preprocessing and analysis of vessel spatio-temporal trajectories
title_full_unstemmed PyVT: A toolkit for preprocessing and analysis of vessel spatio-temporal trajectories
title_short PyVT: A toolkit for preprocessing and analysis of vessel spatio-temporal trajectories
title_sort pyvt a toolkit for preprocessing and analysis of vessel spatio temporal trajectories
topic Vessel spatio-temporal trajectory
Preprocessing
Analytics
Python
url http://www.sciencedirect.com/science/article/pii/S2352711023000122
work_keys_str_mv AT yeli pyvtatoolkitforpreprocessingandanalysisofvesselspatiotemporaltrajectories
AT hongxiangren pyvtatoolkitforpreprocessingandanalysisofvesselspatiotemporaltrajectories
AT haijiangli pyvtatoolkitforpreprocessingandanalysisofvesselspatiotemporaltrajectories