Identification
- Title
- Shipping AIS Density Grid
- Abstract
This dataset contains the average weekly shipping density for the whole of the UK at a 2km grid resolution. For 2019, Automatic Identification System (AIS) datasets were sampled from the first fourteen days of each month, commencing with January, at monthly intervals. The total value for all 24 weeks was divided by 24 to determine the weekly average, therefore decimal values may occur for certain cells. The weekly average was also multiplied by 52 to provide the estimated annual average.
Ship type groups (STG):
0 - Unknown Vessels
1 - Non-Port service craft
2 - Port service craft
3 - Vessels engaged in dredging or underwater operations
4 - High Speed Craft
5 - Military or Law enforcement
6 - Passenger
7 - Cargo
8 - Tankers
9 - Fishing vessels
10 - Recreational vesselsAIS density grid for 2019 processed by ABPmer on behalf of the MMO using AIS data supplied by the Maritime and Coastguard Agency (MCA), following a methodology previously developed by ABPmer under MMO project number 1066, entitled ‘Mapping UK Shipping Density and Routes from AIS – Open Source Data and Methods’.
Source: MMO
Copyright: AIS data published under Open Government Licence. Reproduced with permission of the MCA and MMO. © Crown Copyright. ABPmer 2021. © British Crown Copyright 2021.
- Licence
- Open Government Licence for Public Sector Information (OGL)
-
Copyright:
- Publication date
- 23 March 2022
- Type
- Spatial data
- Category:
- Oceans
- Regions
- Global
- Approved
- Yes
- Published
- Yes
- Featured
- No
- Group
- Geography & Technology
Information
- Spatial extent
- Projection system
- EPSG:32630
- Extension x0
- 61480.3770410815
- Extension x1
- 597480.377133502
- Extension y0
- 5518332.31964748
- Extension y1
- 6106332.31971831
Features
Contact
- data@gov.wales
- Organisation
- Welsh Government
- Department
- Geography & Technology
References
- Link online
- /layergroups/appdata-wg-marine:ais_density_grid_2019
- Metadata page
- /layergroups/appdata-wg-marine:ais_density_grid_2019/metadata_detail