The vessels in maritime regions need to be specifically monitored and assessed since they play an important role in environment, safety, economy and security. One of the technologies that has been developed to monitor vessels that are sailing is Automatic Identification System (AIS). While AIS’s initial purpose was to provide automatic reporting between ships, it is now a primary source of worldwide information of maritime vessels. The navigational data that is transmitted by the vessels over AIS falls under the category of spatio-temporal data, which implies that it includes the dimension of space as well as time. This added dimension of time gives considerable insight into the information that can be ascertained from the data, however, at the expense of added complexity in analysis. Two of the major application areas that are being analysed are Maritime Surveillance and Maritime Spatial Planning. Both of these try to gain insights from AIS data to enhance the available information in their context. Analysing this requires various data analytic techniques to be applied to it. This paper examines this field of study, right from the data to information stage.


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    Title :

    A Review of Maritime Spatio-temporal Data Analytics


    Contributors:


    Publication date :

    2021-12-01


    Size :

    1460190 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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