• 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:
555525933
Pa_def:
1
Name:
Baie de Canche et couloir des trois estuaires
Orig_name:
Baie de Canche et couloir des trois estuaires
Desig:
Site of Community Importance (Habitats Directive)
Desig_eng:
Site of Community Importance (Habitats Directive)
Desig_type:
Regional
Iucn_cat:
Not Reported
Int_crit:
Not Applicable
Marine:
2
Rep_m_area:
0
Gis_m_area:
326.575792944927
Rep_area:
333.06
Gis_area:
331.378767236268
Not_take:
Not Reported
Not_tk_take:
0
Status:
Designated
Status_yr:
2009
Gov_type:
Federal or national ministry or agency
Own_type:
Not Reported
Mang_auth:
Parc Naturel Marin des Estuaires Picards et de la mer d’Opale
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: 1.38"
## [1] "South-Latitude: 50.11"
## [1] "East-Longitude: 1.64"
## [1] "North-Latitude: 50.58"

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

4.7 Tug and towing

4.8 Passenger

4.9 Cargo

4.10 Tanker

## ERROR: No data available

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>
mean2021
<dbl>
fishing6.3179675997.92874658885.1389151973.6746603604.850556400
service0.2534122710.21842534530.1231076090.0381425510.025571093
dredging0.0000000000.00872834910.0318200560.0241776930.005585606
sailing1.7789575692.56799787961.9609618462.6011100441.881819339
pleasure1.4802673291.05096924910.7860553290.7064648420.562921148
speedcraft0.0000000000.00000000000.0000000000.0000000000.000000000
tug0.0060234460.01666394540.0209383140.0014065730.002174917
passenger0.0436591240.00054068750.0026663120.0000000000.000000000
cargo0.0134731990.00874232770.0067167270.0000000000.000000000
tanker0.0000000000.00000000000.0000000000.0000000000.000000000

5.1.2 Annual percentages

ABCDEFGHIJ0123456789
allgroup
<fctr>
mean2017
<dbl>
mean2018
<dbl>
mean2019
<dbl>
mean2020
<dbl>
mean2021
<dbl>
fishing54.2308344263.27066569751.9088031745.671844655.17714869
service2.175186671.7430140881.243524830.47406850.29088210
dredging0.000000000.0696514200.321418230.30050120.06353866
sailing15.2698398420.49238596919.8079124932.328836421.40649792
pleasure12.706005718.3866375697.940039838.78055376.40346825
speedcraft0.000000000.0000000000.000000000.00000000.00000000
tug0.051702780.1329767460.211500440.01748210.02474061
passenger0.374751960.0043146370.026932740.00000000.00000000
cargo0.115648400.0697629680.067846470.00000000.00000000
tanker0.000000000.0000000000.000000000.00000000.00000000

5.2 Global traffic

ABCDEFGHIJ0123456789
year
<fctr>
value
<dbl>
201711.650139
201812.531473
20199.899892
20208.045789
20218.790879

6 Hierarchical clustering

6.1 Yearly densities

Yearly Vessel densities (2017-2021) 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>
Year_2021
<dbl>
10.107836590.0490771570.0036394470.024703060.05998171
20.170331580.1081044650.1734659340.017703110.16458586
30.401966600.3234792120.1167898890.041916900.06385455
41.266791280.7975713310.3214105120.138212270.14345006
51.183126050.9308192940.1431037700.055637780.04277639
61.170554651.3703285531.3352823290.854359451.11867687
70.948708842.2893913331.6529966340.452016852.26317819
80.785799491.6900671781.1483382331.700909530.65516971
90.159409590.0562558490.1343143760.286915860.21599078
100.033197410.1344435030.0698611400.068616350.06514228
## [1] "02/ Service"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
Year_2021
<dbl>
10.0034215470.00023170740.0000000000.0085729210.0000000000
20.0045075340.00392759530.0028904200.0000000000.0000000000
30.0577769870.00000000000.0100124430.0028104670.0000000000
40.0237923140.00396937480.0000000000.0022565030.0000000000
50.0197688440.02582050050.0188258220.0018717290.0000000000
60.0426987900.05813584180.0454427880.0034906480.0006814878
70.0299387710.03458851290.0214893260.0051261380.0000000000
80.0457870580.01404736620.0071001360.0046368410.0000000000
90.0000000000.07176495460.0026512950.0012521920.0160049398
100.0145934750.00000000000.0127442850.0053364600.0013512311
## [1] "03/ Dredging"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
Year_2021
<dbl>
100.0000000000.000000000.000000000.000000000
200.0000000000.000000000.000000000.000000000
300.0000000000.000000000.000000000.000000000
400.0087283490.000000000.000000000.000000000
500.0000000000.000000000.004988620.000000000
600.0000000000.000000000.001415240.000000000
700.0000000000.000000000.017773830.000000000
800.0000000000.000000000.000000000.000000000
900.0000000000.016755460.000000000.000000000
1000.0000000000.015064600.000000000.000000000
## [1] "04/ Sailing"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
Year_2021
<dbl>
10.0000000000.0000000000.0000000000.0010052590.0225543907
20.0071119060.0000000000.0000000000.0195940230.0298699183
30.0153923340.0000000000.0242835280.1014495510.1639588764
40.0233545070.0103661360.0162081920.0000000000.0157328138
50.0736854990.0905779300.0673802460.3431119940.0719345223
60.5134920750.6658511310.4408948080.1311493650.1530078736
70.5528868240.8802471610.6882204050.5181551580.4658373782
80.4293029110.7556435960.5478056190.8377647520.5019550853
90.1145598490.1233259280.1217767750.2173535700.2151866530
100.0458382030.0320129640.0194741310.4246303730.1878583284
## [1] "05/ Pleasure Craft"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
Year_2021
<dbl>
10.0000000000.0000000000.0049300550.00000000000.000000000
20.0000000000.0000000000.0029418610.00000000000.000000000
30.0025762130.0025687120.0064185480.00000000000.002698029
40.0869464240.0291538220.0442361930.00270799070.001842157
50.2144640170.0666782380.0834493760.00000000000.021314505
60.2702594890.1194877790.1640413380.03515361700.026576295
70.5083301220.4443901640.2006982000.29339973980.248692774
80.2908971330.2173046110.1937288740.26174638640.189199681
90.0927125880.1097053730.0512947580.08752260420.052477403
100.0140813430.0616805510.0146670390.02367800740.020120305
## [1] "06/ High Speed Craft"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
Year_2021
<dbl>
100000
200000
300000
400000
500000
600000
700000
800000
900000
1000000
## [1] "07/ Tug and Towing"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
Year_2021
<dbl>
10.00000000000.00281452010.000000000.0000000000.000000000
20.00000000000.00000000000.000000000.0000000000.000000000
30.00000000000.00923425920.000000000.0000000000.000000000
40.00399348700.00098682210.000000000.0000000000.000000000
50.00000000000.00000000000.000000000.0000000000.000000000
60.00000000000.00000000000.000000000.0000000000.000000000
70.00036942230.00000000000.000000000.0000000000.002174917
80.00000000000.00000000000.000000000.0000000000.000000000
90.00000000000.00000000000.000000000.0000000000.000000000
100.00000000000.00000000000.020938310.0014065730.000000000
## [1] "08/ Passenger"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
Year_2021
<dbl>
10.000000000.00000000000.00000000000
20.000000000.00000000000.00000000000
30.000000000.00000000000.00000000000
40.000000000.00000000000.00000000000
50.000000000.00054068750.00134476100
60.000000000.00000000000.00000000000
70.000000000.00000000000.00000000000
80.043659120.00000000000.00132155100
90.000000000.00000000000.00000000000
100.000000000.00000000000.00000000000
## [1] "09/ Cargo"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
Year_2021
<dbl>
10.0000000000.0000000000.00000000000
20.0000000000.0000000000.00000000000
30.0000000000.0000000000.00000000000
40.0000000000.0000000000.00000000000
50.0000000000.0000000000.00000000000
60.0029348660.0000000000.00000000000
70.0105383330.0087423280.00671672700
80.0000000000.0000000000.00000000000
90.0000000000.0000000000.00000000000
100.0000000000.0000000000.00000000000
## [1] "10/ Tanker"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
Year_2021
<dbl>
100000
200000
300000
400000
500000
600000
700000
800000
900000
1000000
## [1] "11/ Military and Law Enforcement"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
Year_2021
<dbl>
10.00000000000.00000000000.000000e+000.00209902180.000000000
20.00000000000.00000000000.000000e+000.00000000000.003281660
30.00741936790.00000000003.193565e-050.00000000000.000000000
40.00523203150.00451843771.968830e-020.00167606560.004429804
50.00166958050.00725396058.232725e-030.00661410350.002437673
60.00416866720.00397108880.000000e+000.00000000000.021388209
70.00000000000.00000000006.612621e-030.00000000000.107974575
80.00000000000.00000000000.000000e+000.00075919030.093415357
90.00077801520.00040667640.000000e+000.00000000000.000000000
100.00574746330.05173831409.792101e-020.00962266970.003055431
## [1] "12/ Other"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
Year_2021
<dbl>
10.0047626550.0347151890.0076494480.01545249980.034766367
20.0400172410.0448617000.0477444810.00000000000.065522786
30.0374851610.0087443690.0019061980.00000000000.063659184
40.0665783240.0067192240.2524998440.00000000000.184415942
50.3097595900.0055989850.0506098150.00261893300.120272251
60.1976151240.0060696030.1985843640.08978497070.200735612
70.4914150810.0450805630.6679961380.20821454490.140969805
80.3344577260.0914024760.1343882180.46389265750.018479357
90.0962122820.2006088600.0812357540.03493354870.168355618
100.0656131950.1603665670.1557780800.15746493690.182770868
## [1] "13/ Unknown"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
Year_2021
<dbl>
10.0000000000.00000000000
20.0000000000.00000000000
30.0000000000.00000000000
40.0000000000.00000000000
50.0000000000.00000000000
60.0000000000.00000000000
70.0062541440.01066756000
80.0103785580.00000000000
90.0000000000.00000000000
100.0000000000.00000000000
## [1] "14/ Global traffic"
ABCDEFGHIJ0123456789
Month
<dbl>
Year_2017
<dbl>
Year_2018
<dbl>
Year_2019
<dbl>
Year_2020
<dbl>
Year_2021
<dbl>
10.11602080.086838570.016218950.051832760.11730247
20.22196830.156893760.227042690.037297130.26326022
30.52261670.344026550.159442540.146176920.29417064
41.47668840.862013510.654043040.144852830.34987077
51.80247361.127289590.372946520.414843160.25873534
62.20172362.223843992.184245621.115353291.52106634
72.54844153.713107633.244730061.494686273.22882764
81.94028202.768465242.032682633.269709361.45821919
90.46367230.562067650.408028410.627977780.66801540
100.17907110.440241900.406448600.690755380.46029844

8 Open-notebook

Access MyBinder.org/Marine-Analyst virtual environment.
More info at Marine-Analyst.eu

This document produced by Marine-analyst.eu is licensed under CC BY-NC 4.0