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https://hdl.handle.net/10442/15814
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| Τίτλος : | Tracking ships using AIS data – A visualized example in the area of Kalamata |
| Δημιουργός/Ομιλητής : | Pierrakou, Christine |
| Ιδιότητα ομιλητή: | Head of the Coordination and Programming Section, Hellenic Statistical Authority (ELSTAT) |
| Εξειδίκευση τύπου : | Εκδήλωση
Οπτική παρουσίαση |
| Διοργανωτής συνάντησης : | Eurostat
Hellenic Statistical Authority (ELSTAT)
National Documentation Centre (EKT)
2nd Lyceum of Kalamata |
| Εκδότης: | National Documentation Centre (EKT) |
| Ημερομηνία: | 2018-10-05 |
| Γλώσσα : | Αγγλικά |
| Μορφότυπο: | mp4 |
| Διάρκεια: | 14:45 |
| Περίληψη : | We live in a data-rich world that is rapidly changing. This environment has an impact on all of us, as well as on the statistics used to policy-making and taking decisions. New data sources provide new opportunities to making statistics. One of them is the Automatic Identification System (AIS), which is a radio signal used by ships to broadcast information on their location and status on a frequent basis. Research on the use of AIS for official statistics was part of the ESSnet Big Data project, performed by The Netherlands (Work package leader), Greece, Poland, Norway and Denmark. The results of this research are shortly presented. It is explained what AIS data is and how a journey of a ship can be determined using AIS data. The potential of the AIS data is presented through a visualized example in the local area of Kalamata; ideas are given for using AIS data to identify appropriate analysis patterns and gain insight in the developments in transport, in order to help users in making an informed choice. This work is going to be continued through a Work Package (WP) in the ESSnet Big Data II project aiming at completing the activities that would lead to the implementation and integration of AIS data in the statistical production process. In the future, AIS data combined with other digital data sources of Internet of Things (IoT) would build up a complete real-time picture of the supply chain. This “bigger picture” based on existing connectivity nodes will be more detailed in the near future. |
| Όνομα εκδήλωσης: | SmartStatistics4SmartCities conference |
| Ημ/νία έναρξης εκδήλωσης : | 2018-10-05 |
| Ημ/νία λήξης εκδήλωσης : | 2018-10-06 |
| Τόπος εκδήλωσης: | Kalamata, Peloponnese, Greece, Filoxenia Hotel Kalamata (Navarinou Street, GR 241 00) |
| Θεματική κατηγορία: | [EL] Τεχνολογία[EN] Technology
[EL] Επιστήμη[EN] Science
[EL] Τοπική αυτοδιοίκηση[EN] Local government
[EL] Στατιστική[EN] Statistics
[EL] Ναυτική Επιστήμη[EN] Naval Science |
| Λέξεις-Κλειδιά: | Research
Automatic Identification System (AIS)
Data
Ship
Journey |
| Είναι μέρος του : | SmartStatistics4SmartCities conference, 1st Event |
| Σημειώσεις: | Bibliography:
Christina Pierrakou and Eleni Bisioti: Tracking ships using AIS data – A visualized example in the area of Kalamata
Speech from Session I |
| Εμφανίζεται στις συλλογές: | Εθνικό Κέντρο Τεκμηρίωσης και Ηλεκτρονικού Περιεχομένου (ΕΚΤ) - Δράσεις έως 2019
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