knitr::opts_chunk$set(echo = FALSE) library(dplyr) options(dplyr.summarise.inform = FALSE) library(ggplot2) library(ggforce) library(tidyr) library(data.table) library(scales) library(knitr) library(ggrepel) library(tidyverse) library(kableExtra) year = 2023 wd = file.path(bio.datadirectory, "bio.snowcrab", "reports", year, "JanuaryMeetings", "fishery") wd2 = file.path(bio.datadirectory, "bio.snowcrab", "reports", year, "JanuaryMeetings", "acoustic")
knitr::include_graphics(file.path(wd, "landing_data_Tac.pdf")) #create table with Area, Year, TAC, Landings, Catch Rate (lbs/trap) for NENS, cfa23, cfa 24 for last 3 years
knitr::include_graphics(file.path(wd, "CFA23_weekly_landing.pdf"))
knitr::include_graphics(file.path(wd, "percent_spring_landings.pdf"))
knitr::include_graphics(file.path(wd, "vessels_per_year.pdf"))
knitr::include_graphics(file.path(wd, "annual_cpue_kg.pdf"))
knitr::include_graphics(file.path(wd, "weekly_cpue_smoothed2.pdf"))
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "output", "maps", "logbook", "snowcrab", "annual", "cpue", paste("cpue.", year, ".png", sep = "")))
knitr::include_graphics(file.path(wd, "mean_cw_observed.pdf"))
knitr::include_graphics(file.path(wd, "cw_vs_mass.pdf"))
knitr::include_graphics(file.path(wd, "mean_weight_observed.pdf"))
knitr::include_graphics(file.path(wd, "cfa23_past_two_years_fishing_positions.pdf"))
::: columns ::: column
knitr::include_graphics(file.path(wd, "cfa23_spring_fishing_positions.pdf"))
:::
::: column
knitr::include_graphics(file.path(wd, "cfa23_summer_fishing_positions.pdf"))
::: :::
knitr::include_graphics(file.path(wd, "observersummary2.pdf"))
::: columns ::: column
knitr::include_graphics(file.path(wd, paste(year-1, "_S-ENS_size_freq.pdf", sep = "")))
:::
::: column
knitr::include_graphics(file.path(wd, paste(year, "_S-ENS_size_freq.pdf", sep = "")))
::: :::
::: columns ::: column
knitr::include_graphics(file.path(wd, "S-ENS_Spring_size_freq.pdf"))
:::
::: column
knitr::include_graphics(file.path(wd, "S-ENS_Summer_size_freq.pdf"))
::: :::
knitr::include_graphics(file.path(wd, "softsummary2.pdf"))
knitr::include_graphics(file.path(wd, "soft_crab_by_month.pdf"))
knitr::include_graphics(file.path(wd, "cfa23_soft_crab_positions_68.pdf"))
knitr::include_graphics(file.path(wd, "All_Survey_Stations.pdf"))
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "assessments", year, "figures", "size.freq", "survey", "female.pdf"))
::: columns ::: column
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "output", "maps", "survey", "snowcrab", "annual", "totmass.female.mat", paste("totmass.female.mat.", year-1, ".png", sep = "")))
:::
::: column
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "output", "maps", "survey", "snowcrab", "annual", "totmass.female.mat", paste("totmass.female.mat.", year, ".png", sep = "")))
::: :::
Units: mt/km2
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "assessments", year, "figures", "size.freq", "survey", "male.pdf"))
::: columns ::: column
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "output", "maps", "survey", "snowcrab", "annual", "R0.mass", paste("R0.mass.", year-1, ".png", sep = "")))
:::
::: column
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "output", "maps", "survey", "snowcrab", "annual", "R0.mass", paste("R0.mass.", year, ".png", sep = "")))
::: :::
Units: mt/km2
::: columns ::: column
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "assessments", year, "timeseries", "survey", "ms.mass.10.pdf"))
:::
::: column
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "output", "maps", "survey", "snowcrab", "annual", "bycatch", "ms.mass.10", paste("ms.mass.10.", year-1, ".png", sep = "")))
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "output", "maps", "survey", "snowcrab", "annual", "bycatch", "ms.mass.10", paste("ms.mass.10.", year, ".png", sep = "")))
::: :::
:::: columns ::: column
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "assessments", year, "timeseries", "survey", "ms.mass.201.pdf"))
:::
::: column
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "output", "maps", "survey", "snowcrab", "annual", "bycatch", "ms.mass.201", paste("ms.mass.201.", year-1, ".png", sep = "")))
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "output", "maps", "survey", "snowcrab", "annual", "bycatch", "ms.mass.201", paste("ms.mass.201.", year, ".png", sep = "")))
::: :::
::: columns ::: column
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "assessments", year, "timeseries", "survey", "ms.mass.2211.pdf"))
:::
::: column
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "output", "maps", "survey", "snowcrab", "annual", "bycatch", "ms.mass.2211", paste("ms.mass.2211.", year-1, ".png", sep = "")))
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "output", "maps", "survey", "snowcrab", "annual", "bycatch", "ms.mass.2211", paste("ms.mass.2211.", year, ".png", sep = "")))
::: :::
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "assessments", year, "timeseries", "survey", "t.pdf"))
::: columns ::: column
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "output", "maps", "survey", "snowcrab", "annual", "t", paste("t.", year-1, ".png", sep = "")))
:::
::: column
knitr::include_graphics(file.path("C:", "bio.data", "bio.snowcrab", "output", "maps", "survey", "snowcrab", "annual", "t", paste("t.", year, ".png", sep = "")))
::: :::
::: columns ::: column
Collaborative project since 2015
Two lines of 23 acoustic receivers within the MPA
Detect animals we tag (snow crab, cod, etc) as well as other projects from along the eastern seaboard :::
::: column
knitr::include_graphics(file.path(wd2, "V2LSCF.receiver.line.locations.pdf"))
::: :::
knitr::include_graphics(file.path(wd2, "V2LSCF.detected.projects.map.pdf"))
knitr::include_graphics(file.path(wd2, "V2LSCF.species.pie.chart.pdf"))
knitr::include_graphics(file.path(wd2, "V2LSCF.species.by.month.pdf"))
knitr::include_graphics(file.path(wd2, "V2LSCF.temperature.pdf"))
::: block - 2020/20 is the final of a five year CA
Funds remaining at the end of the year (April 1, 2020) will be returned to participants
\% of each license recalculates annually based on previous season's quota
Working on a new 5 year CA.
Will still be a \"Use of Fish\" approach with science quota
Please DO NOT send payment until invoice is received, not just CA for signature :::
knitr::include_graphics(file.path(bio.datadirectory, "bio.snowcrab", "reports", year, "JanuaryMeetings", "business", "Spending.Breakdown.pdf"))
::: block - Current:
- Industry Meetings (Jan), RAP (late Feb), AC Meetings (early
March)
- Framework preceding RAP this year.
- Preliminary report, Res Doc ( 150 pages), SAR (30 pages)
Future:
In-house review of assessment (mid Feb), Industry Meetings (late Feb), AC Meetings (March)
Preliminary report, Stock update (30 pages)
Full RAP, Res Doc every 3 years :::
::: frame The End :::
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.