Explore Fishing Data

library(atlantiscas)
library(magrittr)

Overview

A General overview of data. More detailed exploration based on Fleets, Ports, Species, can be found in other vignettes

Data Sources and cleaning

Landings data by box at trip level provided by SSB for the communities at sea project

Example of data

Explain the fields

Plot Catch by Box

NEUS

Outside

Plot catch by box totals

Neus

Outside

Landings in Boundary boxes

Atlantis boundary boxes are not modelled like other boxes so we need to know how much of the landings come from these boxes

Neus

Total landings in boundary boxes over the period 1996-2021 is 3.5809771^{5} which accounts for 5.358094 percent of the total landings over this period

Outside

Total landings in boundary boxes over the period 1996-2021 is 5827.8494622 which accounts for 4.2255961 percent of the total landings (by trips from States outside of NEUS) over this period

Port level

There are 440 unique ports along the US eastern seaboard in which fish caught in the NEUS region are landed. 406 are within NEUS

The Main ports in terms of landings (1000’s metric tons). Only states within the model are considered

Landings by Ports and State

Only states within the model are considered Top 5 ports in each state based on landings (1000’s metric tons)

Ports by State

Lighly shaded bars indicate ports that lie outside of the NEUS footprint. Note: CN = Canadian ports

Are the fish landed from the boundary boxes distributed equally among ports or are some ports heavily reliant from landings in these boxes.

Landings by State

Missing State/port designations appear in data. This results in a number if trip not being able to be attributed to a port. Table shows number of trips with missing port/state information

Number of Trips

A trip is identified by unique TRIPID.

Gear categories

There are no GEARCODEs that have missing GEARCATs. The distinct Gear categories DMIS are :

Landings by GEARCAT

Look at total landings by gear type/and box

Species categories

There are some species without an atlantis code assigned. Some of these are “catch all” species codes that will need to be resolved. Eg. SKATES, NK SHARK, NK CLAM, OTHER FISH. Others can be ignored

#> `geom_line()`: Each group consists of only one observation.
#> ℹ Do you need to adjust the group aesthetic?
#> `geom_line()`: Each group consists of only one observation.
#> ℹ Do you need to adjust the group aesthetic?
#> `geom_line()`: Each group consists of only one observation.
#> ℹ Do you need to adjust the group aesthetic?
#> `geom_line()`: Each group consists of only one observation.
#> ℹ Do you need to adjust the group aesthetic?

Skates

All species identified as a SKATE in the data. Unknown skates were classed as “SKATES” and attributed to the Atlantis SK functional group

Squid

All species identified as a SQUID in the data. Unknown squid were coded as ILLEX SQUID

Shark

All species identified as a SHARK in the data. These were left as is

#> `geom_line()`: Each group consists of only one observation.
#> ℹ Do you need to adjust the group aesthetic?
#> `geom_line()`: Each group consists of only one observation.
#> ℹ Do you need to adjust the group aesthetic?
#> `geom_line()`: Each group consists of only one observation.
#> ℹ Do you need to adjust the group aesthetic?
#> `geom_line()`: Each group consists of only one observation.
#> ℹ Do you need to adjust the group aesthetic?
#> `geom_line()`: Each group consists of only one observation.
#> ℹ Do you need to adjust the group aesthetic?

Dogfish

All species identified as a DOGFISH in the data. Unknowns were coded as SPINY DOGFISH

Clam

All species identified as a CLAM in the data. Unknowns were classed as SURF CLAM