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Data provided by NARI (Institut de Recherche de l'�cole Navale) contains AIS kinematic messages from vessels sailing in the Atlantic Ocean around the port of Brest, Brittany, France and span a period from 1 October 2015 to 31 March 2016. Raw AIS messages - file: nari_dynamic.csv, 19,035,630 records. After deduplication of original AIS messages, this dataset yielded 18,495,677 point locations (kinematic AIS messages only), which was used as input for creating trajectory synopses. Attribute "MMSI" in the original data is used in processing as the identifier of each vessel (e.g., "244670495").
Patroumpas K., Alevizos E., Artikis A., Vodas M., Pelekis N. and Theodoridis Y. Online Event Recognition from Moving Vessel Trajectories. GeoInformatica 21(2): 389-427, 2017.
Synopses Generator, Maritime Surveillance
Synopses Generator, Maritime Surveillance
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |