Having the right information at the right time is a key ingredient to creating value for any business, and the maritime industry is no different. From optimising vessels routes and preparing ports for efficient operations to reducing pollution and saving the environment, data analytics makes a difference for various maritime industry stakeholders. With the streams of digital data coming from pervasive sensors and transmitters, it is possible to track the position of almost any object in space and time, thus, supporting situational awareness to improve efficiency of sea operations. Spatiotemporal data merges both geospatial and temporal data points, which make it particularly useful in the maritime context but also challenging from the analytical point of view. This chapter presents the state of the art in spatiotemporal analytics and provides an overview of its practical applications in the maritime industry. The described scenarios are (1) long-term route planning, (2) environment preservation, (3) collision avoidance, (4) cargo tracking and (5) port call optimisation.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Spatiotemporal Data Analytics for the Maritime Industry


    Weitere Titelangaben:

    Progress in IS


    Beteiligte:
    Lind, Mikael (Herausgeber:in) / Michaelides, Michalis (Herausgeber:in) / Ward, Robert (Herausgeber:in) / T. Watson, Richard (Herausgeber:in) / Schmitt, Patrick (Autor:in) / Bartosiak, Marcin Lukasz (Autor:in) / Rydbergh, Torbjörn (Autor:in)

    Erschienen in:

    Maritime Informatics ; Kapitel : 20 ; 335-353


    Erscheinungsdatum :

    15.11.2020


    Format / Umfang :

    19 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Advanced Data Analytics for Maritime Energy Efficiency

    Adhitya, Ryan Yudha / Rinanto, Noorman / Syafiuddin et al. | Springer Verlag | 2025


    A Review of Maritime Spatio-temporal Data Analytics

    Newaliya, Nitin / Singh, Yudhvir | IEEE | 2021


    Special Issue on Spatiotemporal Big Data Analytics for Transportation Applications

    Chen, Bi Yu / Kwan, Mei-Po | Taylor & Francis Verlag | 2020



    Big Data in the Maritime Industry

    Maris Mirović / Mario Miličević / Ines Obradović | DOAJ | 2018

    Freier Zugriff