Vessel Density Mapping of 2022 AIS Data in the Northwest Atlantic

The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning. In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.

Simple

Date ( RI_367 )
2023-12-05
Date ( RI_366 )
2023-12-05
RI_418
  Government of Canada; Fisheries and Oceans Canada; Marine Planning and Conservation - Tyler Veinot ( Spatial Analyst )
Status
planned; planifié RI_597
Maintenance and update frequency
asNeeded; auBesoin RI_540
Keywords ( RI_525 )
  • Atlantic Canada
Keywords ( RI_528 )
  • Automatic Identification System
  • Vessel Density
  • Shipping
  • Transportation
  • Cargo
  • Fishing
  • Tanker
Government of Canada Core Subject Thesaurus Thésaurus des sujets de base du gouvernement du Canada ( RI_528 )
  • Shipping
  • Transport
  • Marine safety
  • Vessels
  • Fishing ships
Classification
unclassified; nonClassifié RI_484
Use limitation
Open Government Licence - Canada (http://open.canada.ca/en/open-government-licence-canada)
Access constraints
license; licence RI_606
Use constraints
license; licence RI_606
Spatial representation type
grid; grille RI_636
Metadata language
eng; CAN
Character set
utf8; utf8 RI_458
Topic category
  • Oceans
  • Transportation
Begin date
2022-01-01
End date
2022-12-31
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Reference system identifier
ESRI:102001 Canada Albers Equal Area Conic / unknown /
Distribution format
  • FGDB/GDB ( 10.7 )

  • TIFF ( 5.0 )

  • ESRI REST ( 2.8.8 )

RI_418
  Government of Canada; Fisheries and Oceans Canada; Marine Planning and Conservation - Marine Planning and Conservation ( )
OnLine resource
Vessel Density Mapping of 2019 Automatic Identification System (AIS) Data in the Northwest Atlantic ( HTTPS )

Supporting Document;PDF;eng

OnLine resource
Vessel Density Mapping of 2022 Automatic Identification System (AIS) Data in the Northwest Atlantic ( HTTPS )

Dataset;FGDB/GDB;eng,fra

OnLine resource
Data Dictionary ( HTTPS )

Supporting Document;PDF;eng,fra

OnLine resource
Vessel Density Mapping of 2022 Automatic Identification System (AIS) Data in the Northwest Atlantic ( HTTPS )

Dataset;GeoTIF;eng,fra

OnLine resource
AIS Vessel density legend ( HTTPS )

Supporting Document;PNG;eng,fra

OnLine resource
Vessel Density Mapping of 2022 Automatic Identification System (AIS) Data in the Northwest Atlantic ( ESRI REST: Map Service )

Web Service;ESRI REST;eng

OnLine resource
Vessel Density Mapping of 2022 Automatic Identification System (AIS) Data in the Northwest Atlantic ( ESRI REST: Map Service )

Web Service;ESRI REST;fra

File identifier
248e2e14-456c-414e-b093-14022d367fb0 XML
Metadata language
eng; CAN
Character set
utf8; utf8 RI_458
Parent identifier
Vessel Density Mapping Series in the Northwest Atlantic e60a7e32-5a67-45d6-900d-e6ab6b581a51
Hierarchy level
dataset; jeuDonnées RI_622
Date stamp
2024-01-31T18:33:52
Metadata standard name
North American Profile of ISO 19115:2003 - Geographic information - Metadata
Metadata standard version
CAN/CGSB-171.100-2009
RI_418
  Government of Canada; Fisheries and Oceans Canada; Marine Planning and Conservation - Tyler Veinot ( )
Bedford Institute of Oceanography, 1 Challenger Drive, PO Box 1006 , Dartmouth , Nova Scotia , B2Y 4A2 , Canada
 
 

Overviews

overview
Thumbnail 2022

Spatial extent

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Keywords


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Associated resources

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