• 1 MPA information
  • 2 Data information
    • 2.1 Metadata
  • 3 Geographical extent
    • 3.1 Coordinates
    • 3.2 MPA area
  • 4 Shipping density
    • 4.1 Fishing
    • 4.2 Service
    • 4.3 Dredging
    • 4.4 Sailing
    • 4.5 Pleasure Craft
    • 4.6 High Speed craft
    • 4.7 Tug and towing
    • 4.8 Passenger
    • 4.9 Cargo
    • 4.10 Tanker
    • 4.11 Military
    • 4.12 Other
    • 4.13 Unknown
  • 5 Statistics
    • 5.1 Distribution
    • 5.2 Global traffic
  • 6 Hierarchical clustering
    • 6.1 Yearly densities
    • 6.2 Classification by activities
    • 6.3 Maritime activities clusters
    • 6.4 Boxplot
  • 7 All data
  • 8 Open-notebook

1 MPA information

Wdpaid:
555539392
Pa_def:
1
Name:
Anse de Fouras, baie d’Yves, marais de Rochefort
Orig_name:
Anse de Fouras, baie d’Yves, marais de Rochefort
Desig:
Special Protection Area (Birds Directive)
Desig_eng:
Special Protection Area (Birds Directive)
Desig_type:
Regional
Iucn_cat:
Not Reported
Int_crit:
Not Applicable
Marine:
1
Rep_m_area:
0
Gis_m_area:
30.2094509321768
Rep_area:
136.04
Gis_area:
136.018293344255
Not_take:
Not Reported
Not_tk_take:
0
Status:
Designated
Status_yr:
2019
Gov_type:
Federal or national ministry or agency
Own_type:
Not Reported
Mang_auth:
Communaut d’Agglomration Rochefort Ocan
Mang_plan:
Verif:
State Verified
Metadata_i:
1832
Sub_loc:
Not Reported
Parent_iso:
FRA
Iso3:
FRA

2 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.

2.1 Metadata

Access metadata from dataset’s landing page

3 Geographical extent

3.1 Coordinates

## [1] "West-Longitude: -1.15"
## [1] "South-Latitude: 45.96"
## [1] "East-Longitude: -0.77"
## [1] "North-Latitude: 46.1"

3.2 MPA area

3.2.1 Topography

3.2.2 Geographical location

Map tiles by Stamen Design, under CC BY 3.0. Data by OpenStreetMap, under ODbL.

4 Shipping density

4.1 Fishing

4.2 Service

4.3 Dredging

4.4 Sailing

4.5 Pleasure Craft

4.6 High Speed craft

## ERROR: No data available

4.7 Tug and towing

4.8 Passenger

4.9 Cargo

4.10 Tanker

4.11 Military

4.12 Other

4.13 Unknown

5 Statistics

5.1 Distribution

5.1.1 Annual means

ABCDEFGHIJ0123456789
allgroup
<fctr>
mean2017
<dbl>
mean2018
<dbl>
mean2019
<dbl>
mean2020
<dbl>
fishing0.00000000001.947011e-010.6205025320.401871538
service0.10374792444.819208e-020.0572779550.096354001
dredging0.00000000008.810416e-040.0012040700.006015177
sailing0.77833837857.320679e-010.9773061921.471369660
pleasure0.15172983461.084297e-010.1784300590.311391226
speedcraft0.00000000000.000000e+000.0000000000.000000000
tug0.00691649052.380801e-030.0056152580.004156010
passenger9.29021853841.112385e+0110.7783952259.119967081
cargo0.00092435837.027416e-040.0000000000.003659592
tanker0.00000000000.000000e+000.0000000000.000000000

5.1.2 Annual percentages

ABCDEFGHIJ0123456789
allgroup
<fctr>
mean2017
<dbl>
mean2018
<dbl>
mean2019
<dbl>
mean2020
<dbl>
fishing0.0000000001.5944460104.9106514193.50931762
service1.0034687130.3946546180.4532972210.84140518
dredging0.0000000000.0072150260.0095290010.05252715
sailing7.5282297545.9950508047.73439234812.84864189
pleasure1.4675584390.8879526111.4120938712.71920406
speedcraft0.0000000000.0000000000.0000000000.00000000
tug0.0668975480.0194968570.0444391020.03629209
passenger89.85667615491.09542918485.30012215979.63953196
cargo0.0089405610.0057548910.0000000000.03195715
tanker0.0000000000.0000000000.0000000000.00000000

5.2 Global traffic

ABCDEFGHIJ0123456789
year
<fctr>
value
<dbl>
201710.33893
201812.21120
201912.63585
202011.45156

6 Hierarchical clustering

6.1 Yearly densities

Yearly Vessel densities (2017-2020) by activity type:

  • Dredging
  • Fishing
  • Sailing
  • Services
  • Transport

6.2 Classification by activities

Classification of vessel densities by activity type

6.3 Maritime activities clusters

Overall classification of maritime activities seen by AIS

6.4 Boxplot

Boxplot of the maritime activities by clusters

7 All data

Monthly means (hours/km2)

## [1] "01/ Fishing"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
100.000000000.0000000000.07594506
200.000000000.0000000000.05116128
300.000000000.0000000000.00000000
400.000000000.0018455080.22874909
500.000000000.0593737890.00000000
600.000000000.1383417970.00000000
700.000000000.0954184440.04601611
800.000000000.0635515480.00000000
900.000000000.0077728200.00000000
1000.000000000.0015326930.00000000
## [1] "02/ Service"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
10.00036739776.350471e-040.00056246250.0012807783
20.01054290039.569342e-050.00201942830.0034506154
30.00157270481.835243e-030.00059688830.0006155328
40.00028235012.967922e-030.00135471470.0001858781
50.01202393441.276102e-020.00414802360.0026653850
60.04678500226.947844e-040.03505249830.0009255350
70.02380715122.081700e-020.00558096930.0066293964
80.00516715914.336132e-030.00448117670.0133555141
90.00028835462.416384e-030.00055016220.0366172709
100.00171287429.787685e-040.00080638240.0273503893
## [1] "03/ Dredging"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
100.00000000000.00000000000.000000000
200.00000000000.00000000000.000000000
300.00000000000.00000000000.000000000
400.00000000000.00038460390.004858436
500.00042098320.00040270620.000000000
600.00000000000.00000000000.000000000
700.00000000000.00000000000.000000000
800.00000000000.00000000000.000000000
900.00046005850.00000000000.000000000
1000.00000000000.00041676020.000000000
## [1] "04/ Sailing"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
10.00360121580.05508288160.00074189930.001599432
20.00069926110.00064902430.03933291890.002490093
30.00031674420.00383893220.00841049340.008512836
40.01497107490.03045966510.03071331350.000000000
50.03019785520.03521230300.44552390320.033092245
60.08230299610.05166247260.07889346510.049463591
70.10196953850.36911175900.10894283360.663022036
80.21068089370.09712263030.16457699560.357240227
90.06329687910.05199804040.06409709120.309559060
100.25150773430.02593710050.03147064630.042974189
## [1] "05/ Pleasure Craft"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
10.00000000000.0000000000.00000000000.000651817
20.00000000000.0000000000.00123458640.000000000
30.00000000000.0000000000.00098207560.000000000
40.00274831690.0122985410.00312616360.000000000
50.00406191520.0039835710.06826323820.005581328
60.03231271470.0048350240.03112267440.027841653
70.01321755480.0169122810.02144685100.201506743
80.04411028830.0357995530.02912570470.052487304
90.01857414010.0241827070.01146428240.013281091
100.03608039030.0058353200.00933568410.004617324
## [1] "06/ High Speed Craft"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
10000
20000
30000
40000
50000
60000
70000
80000
90000
100000
## [1] "07/ Tug and Towing"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
10.00000000000.00000000000.00000000000.0003369266
20.00000000000.00000000000.00177623920.0000000000
30.00000000000.00108917000.00101817690.0023103732
40.00070037720.00087559660.00067434990.0000000000
50.00255898850.00000000000.00027720270.0008494191
60.00000000000.00041603450.00000000000.0000000000
70.00156602290.00000000000.00119535940.0003300245
80.00064137200.00000000000.00000000000.0000000000
90.00110317120.00000000000.00000000000.0003292661
100.00000000000.00000000000.00032281490.0000000000
## [1] "08/ Passenger"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
10.71724770.88763590.88412140.9484480
20.65740840.73464990.83124850.8659991
30.15443490.91292440.12125350.7621940
40.40279240.92259880.66208930.3576095
50.84112890.47134241.07764060.4408905
60.84245100.86978031.04210850.3460941
71.07519651.24439271.24628271.0964649
81.22286941.29798581.25754491.2035399
90.78310731.00647171.00070620.9658235
100.92418860.92977760.92296620.7926006
## [1] "09/ Cargo"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
10.00052917220.000000000000.0000000000
20.00000000000.000000000000.0000000000
30.00039518610.000000000000.0000000000
40.00000000000.000000000000.0000000000
50.00000000000.000000000000.0035469075
60.00000000000.000373849900.0000000000
70.00000000000.000000000000.0000000000
80.00000000000.000000000000.0000000000
90.00000000000.000328891700.0000000000
100.00000000000.000000000000.0000000000
## [1] "10/ Tanker"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
10000
20000
30000
40000
50000
60000
70000
80000
90000
100000
## [1] "11/ Military and Law Enforcement"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
10000.000000e+00
20000.000000e+00
30000.000000e+00
40000.000000e+00
50000.000000e+00
60000.000000e+00
70001.466854e-05
80000.000000e+00
90000.000000e+00
100000.000000e+00
## [1] "12/ Unknown"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
1000.012233090
2000.000000000
3000.000000000
4000.000000000
5000.000000000
6000.000000000
7000.000000000
8000.000000000
9000.000000000
10000.000000000
## [1] "13/ Other"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
1000.012233090
2000.000000000
3000.000000000
4000.000000000
5000.000000000
6000.000000000
7000.000000000
8000.000000000
9000.000000000
10000.000000000
## [1] "14/ Global traffic"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
10.72174550.94335390.89765891.0282620
20.66865060.73539460.87561160.9349715
30.15671960.91968770.13226110.7739758
40.42258900.96920050.70018800.5914029
50.89090830.52372031.65562950.4870337
61.00451230.92776251.33002840.4243249
71.21646971.65123371.47924312.0148269
81.48512321.43524421.51928031.6286038
90.86654751.08585781.08459051.3256102
101.21447110.96252880.96685110.8690103

8 Open-notebook

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