Dataset: Vessel density (All) 2017-2020
Document produced by http://www.marine-analyst.eu
29 avril, 2021
1 Data information
EMODnet Vessel Density maps were created by Cogea in 2019 in the framework of EMODnet Human Activities, an initiative funded by the EU Commission. The maps are based on AIS data purchased by Collecte Localisation Satellites (CLS) and ORBCOMM. The maps show shipping density in 1km*1km cells of a grid covering all EU waters (and some neighbouring areas). Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year. Yearly averages are also available.
1.1 Metadata
Access metadata from dataset’s landing page
2 Geographical extent
2.1 Coordinates
## [1] "West-Longitude: 11.3"## [1] "South-Latitude: 53.6"## [1] "East-Longitude: 15.5"## [1] "North-Latitude: 55.9"2.2 Defined area
Map tiles by Stamen Design, under CC BY 3.0. Data by OpenStreetMap, under ODbL.
3 Vessel density (All types) 2017-2020
3.1 Analysis (graphs)
3.1.1 Monthly composite 2017
3.1.3 Monthly composite 2019
Click on the image to enlarge <A HREF=“./Report-622_test_11.3_53.6_15.5_55.9-monthly2019.png” TARGET=_blank{r, echo=FALSE} #print map of the whole series #plt_vessel2019[[1]]+latticeExtra::layer(sp.polygons(coast,fill="grey",col="grey"))+latticeExtra::layer(sp.polygons(mpa)) plt_vessel2019[[1]]
3.1.4 Monthly composite 2020
3.1.5 Average
3.2 Analysis (data)
Monthly means (hours/km2)| Month | Year_2017 | Year_2018 | Year_2019 | Year_2020 |
|---|---|---|---|---|
| 1 | 8.879552 | 10.194128 | 9.834140 | 11.032423 |
| 2 | 7.974923 | 9.351329 | 9.043035 | 8.986489 |
| 3 | 9.322635 | 9.521185 | 9.822016 | 11.326957 |
| 4 | 9.700917 | 11.647394 | 11.674826 | 12.110563 |
| 5 | 12.561671 | 14.840934 | 13.006530 | 13.878488 |
| 6 | 13.576599 | 15.470012 | 15.671941 | 16.043764 |
| 7 | 15.580781 | 18.463210 | 18.322278 | 17.894127 |
| 8 | 15.313477 | 16.939509 | 17.295739 | 19.709310 |
| 9 | 12.656491 | 13.052060 | 13.574626 | 16.187731 |
| 10 | 11.591044 | 12.603108 | 12.842332 | 14.079661 |
| 11 | 9.823373 | 10.885951 | 10.910396 | 11.943012 |
| 12 | 9.762069 | 10.328131 | 10.609506 | 12.494990 |
4 Access data
Download data for the defined geographical extent:
| Year | Geotiff_2017 | Geotiff_2018 | Geotiff_2019 | Geotiff_2020 |
|---|---|---|---|---|
| Jan | 1 | 1 | 1 | 1 |
| Feb | 2 | 2 | 2 | 2 |
| Mar | 3 | 3 | 3 | 3 |
| Apr | 4 | 4 | 4 | 4 |
| May | 5 | 5 | 5 | 5 |
| June | 6 | 6 | 6 | 6 |
| Jul | 7 | 7 | 7 | 7 |
| Aug | 8 | 8 | 8 | 8 |
| Sep | 9 | 9 | 9 | 9 |
| Oct | 10 | 10 | 10 | 10 |
| Nov | 11 | 11 | 11 | 11 |
| Dec | 12 | 12 | 12 | 12 |
5 Interactive map
Visualise and access data with Openlayer:
- 2017 average
- 2018 average
- 2019 average
- 2020 average
6 Open-notebook
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