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.


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    Title :

    Spatiotemporal Data Analytics for the Maritime Industry


    Additional title:

    Progress in IS



    Published in:

    Maritime Informatics ; Chapter : 20 ; 335-353


    Publication date :

    2020-11-15


    Size :

    19 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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