Extracting Global Shipping Networks from Massive Historical Automatic Identification System Sensor Data: A Bottom-Up Approach

The increasing availability of big Automatic Identification Systems (AIS) sensor data offers great opportunities to track ship activities and mine spatial-temporal patterns of ship traffic worldwide. This research proposes a data integration approach to construct Global Shipping Networks (GSN) from...

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Detalles Bibliográficos
Autores principales: Wang, Zhihuan, Claramunt, Christophe, Wang, Yinhai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695660/
https://www.ncbi.nlm.nih.gov/pubmed/31370172
http://dx.doi.org/10.3390/s19153363

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695660/
https://www.ncbi.nlm.nih.gov/pubmed/31370172
http://dx.doi.org/10.3390/s19153363

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