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...
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Format: | Article |
Language: | English |
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Elsevier
2023-02-01
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Series: | SoftwareX |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711023000122 |
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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 |
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