From 2ada55df5db749ebdaa98beb21b73d01dec4ff96 Mon Sep 17 00:00:00 2001 From: okenk Date: Tue, 26 Nov 2024 14:48:46 -0800 Subject: [PATCH] rec data workup continues... --- docs/data_summary_doc.qmd | 45 +-- .../figure-html/pacfin-catch-3.png | Bin 21566 -> 21169 bytes .../figure-html/pacfin-catch-4.png | Bin 0 -> 21566 bytes .../pacfin-midwater-vs-bottom-fig-1.png | Bin 0 -> 25766 bytes .../figure-html/recfin-bio-1.png | Bin 0 -> 20547 bytes docs/index.html | 356 ++++++++++++++++-- 6 files changed, 340 insertions(+), 61 deletions(-) create mode 100644 docs/data_summary_doc_files/figure-html/pacfin-catch-4.png create mode 100644 docs/data_summary_doc_files/figure-html/pacfin-midwater-vs-bottom-fig-1.png create mode 100644 docs/data_summary_doc_files/figure-html/recfin-bio-1.png diff --git a/docs/data_summary_doc.qmd b/docs/data_summary_doc.qmd index 6507e18..553c5e5 100644 --- a/docs/data_summary_doc.qmd +++ b/docs/data_summary_doc.qmd @@ -23,7 +23,7 @@ This documents data streams for use in the Northern Yellowtail Rockfish stock as ### Commercial landings Some summary figures: ```{r pacfin-catch, cache=TRUE} -load(here('data/confidential/PacFIN.YTRK.CompFT.09.Oct.2024.RData')) +load(here('data/confidential/commercial/PacFIN.YTRK.CompFT.09.Oct.2024.RData')) # I have checked and LANDING_YEAR = PACFIN_YEAR for all rows. yt_n_catch_pacfin <- catch.pacfin |> @@ -33,7 +33,7 @@ yt_n_catch_pacfin <- catch.pacfin |> ) # OR landings time series -or_comm_catch <- read.csv(here("Data/Confidential/Oregon Commercial landings_433_2023.csv")) |> +or_comm_catch <- read.csv(here("Data/Confidential/commercial/Oregon Commercial landings_433_2023.csv")) |> tibble::as_tibble() |> group_by(YEAR) |> summarise(catch_mt = sum(TOTAL)) @@ -79,7 +79,7 @@ yt_n_catch_pacfin |> viridis::scale_fill_viridis(discrete = TRUE) # total catch by gear over time with midwater trawl separated -yt_n_catch |> +yt_n_catch_pacfin |> mutate(geargroup2 = ifelse(PACFIN_GEAR_CODE == "MDT", yes = "MDT", no = PACFIN_GROUP_GEAR_CODE)) |> # split midwater trawl as MDT group_by(geargroup2, LANDING_YEAR) |> summarise(catch_mt = sum(LANDED_WEIGHT_MTONS)) |> @@ -120,7 +120,7 @@ Note this is for catch landed into Del Norte and Humboldt counties only. ```{r ashop-catch} ashop_catch <- readxl::read_excel( - here("Data/Confidential/Oken_YLT_Catch data_1976-2023_102824_ASHOP.xlsx"), + here("Data/Confidential/ASHOP/Oken_YLT_Catch data_1976-2023_102824_ASHOP.xlsx"), sheet = 'Catch Summary Table') ashop_catch |> mutate(catch_mt = EXPANDED_SumOfEXTRAPOLATED_2SECTOR_WEIGHT_KG / 1000) |> @@ -145,7 +145,7 @@ wa_historical <- read.csv(here('Data/Raw_not_confidential/WA_historical_rec.csv' summarise(Dead_Catch = sum(RETAINED_NUM)) |> mutate(State = 'WA (numbers)') -or_rec_catch <- read.csv(here("Data/Confidential/Oregon Recreational landings_433_2023.csv")) |> +or_rec_catch <- read.csv(here("Data/Confidential/Rec/Oregon Recreational landings_433_2023.csv")) |> tibble::as_tibble() |> mutate(State = 'OR (mt)') @@ -184,7 +184,7 @@ Outstanding issues for CA: Initial length sample sizes after running `PacFIN.Utilities::cleanPacFIN()`: ```{r comm-bio, cache=TRUE} -load(here('Data/Confidential/PacFIN.YTRK.bds.09.Oct.2024.RData')) +load(here('Data/Confidential/Commercial/PacFIN.YTRK.bds.09.Oct.2024.RData')) bds_clean <- PacFIN.Utilities::cleanPacFIN(bds.pacfin, verbose = FALSE) bds_clean |> filter(state == 'WA' | state == 'OR' | PACFIN_GROUP_PORT_CODE == 'CCA' | @@ -255,26 +255,26 @@ VERY tentative length sample sizes. I anticipate this is biased high as I have d ```{r recfin-bio} # recent length data -rec_bio <- read.csv(here("Data/Confidential/RecFIN_Lengths.csv")) |> +rec_bio <- read.csv(here("Data/Confidential/rec/RecFIN_Lengths.csv")) |> tibble::as_tibble() |> filter(STATE_NAME == "OREGON" | STATE_NAME == "WASHINGTON" | grepl("REDWOOD", RECFIN_PORT_NAME)) # or mrfss data -or_mrfss <- read.csv(here("Data/Confidential/MRFSS_BIO_2025 CYCLE_433.csv")) |> +or_mrfss <- read.csv(here("Data/Confidential/rec/MRFSS_BIO_2025 CYCLE_433.csv")) |> tibble::as_tibble() or_mrfss_smry <- or_mrfss |> filter(Length_Flag == 'measured') |> group_by(Year) |> summarise(n_length = n()) |> - mutate(STATE_NAME = 'OREGON (MRFSS)') |> + mutate(STATE_NAME = 'OR (MRFSS)') |> tidyr::pivot_wider(names_from = STATE_NAME, values_from = n_length) # ca/wa mrfss data -ca_wa_mrfss <- read.csv(here("Data/Confidential/MRFSS_lengths_CA_WA.csv")) |> +ca_wa_mrfss <- read.csv(here("Data/Confidential/rec/MRFSS_lengths_CA_WA.csv")) |> as_tibble() |> - filter(ST_NAME == 'Washington' | ST_NAME == 'California' & (CNTY == 87 | CNTY == 97)) |> # Need to check that these county codes are right - filter(T_LEN %% 1 == 0) # I believe this will filter to measured lengths + filter(ST_NAME == 'Washington' | (ST_NAME == 'California' & (CNTY == 15 | CNTY == 23))) |> # 15 = Del Norte, 23 = Humboldt, FIPS codes + filter(T_LEN %% 1 == 0 | LNGTH %% 1 == 0) # I believe this will filter to measured lengths ca_wa_mrfss_smry <- ca_wa_mrfss |> group_by(YEAR, ST_NAME) |> @@ -287,20 +287,22 @@ ca_wa_mrfss_smry <- ca_wa_mrfss |> rec_bio |> ggplot() + - geom_histogram(aes(x = RECFIN_LENGTH_MM), + geom_density(aes(x = RECFIN_LENGTH_MM, col = STATE_NAME, fill = IS_RETAINED), linewidth = 1, alpha = 0.2) + scale_fill_manual(values = c('red', 'blue')) + - ggtitle('RecFIN length compositions by state and disposition') + - viridis::scale_color_viridis(discrete = TRUE) + - facet_grid(STATE_NAME ~ IS_RETAINED) + labs('RecFIN length compositions by state and disposition') + + viridis::scale_color_viridis(discrete = TRUE) # Note: 1993 uses total length. 1994 onward uses fork length. rec_bio |> filter(!is.na(RECFIN_LENGTH_MM)) |> - group_by(RECFIN_YEAR, STATE_NAME, IS_RETAINED) |> + mutate(state = case_when(STATE_NAME == 'WASHINGTON' ~'WA', + STATE_NAME == 'OREGON' ~ 'OR', + STATE_NAME == 'CALIFORNIA' ~ 'CA')) |> + group_by(RECFIN_YEAR, state, IS_RETAINED) |> summarize(n_length = n()) |> rename(Year = RECFIN_YEAR) |> - tidyr::pivot_wider(names_from = c(STATE_NAME, IS_RETAINED), values_from = n_length, + tidyr::pivot_wider(names_from = c(state, IS_RETAINED), values_from = n_length, values_fill = 0) |> full_join(or_mrfss_smry) |> full_join(ca_wa_mrfss_smry) |> @@ -310,7 +312,7 @@ rec_bio |> ``` Retained fish tend to be larger than released fish. However, there are very few released fish. Washington has no measured released fish in RecFIN. Between Oregon and California, -`filter(rec_bio, STATE_NAME != 'WASHINGTON') %>% {100 * with(., sum(IS_RETAINED == 'RETAINED'))/nrow(.)} |> round(1)`\% of lengths are for retained fish. Some fraction of those released fish is assumed to have survived, which would skew the ratio even more towards retained fish. +`r filter(rec_bio, STATE_NAME != 'WASHINGTON') %>% {100 * with(., sum(IS_RETAINED == 'RETAINED'))/nrow(.)} |> round(1)`\% of lengths are for retained fish. Some fraction of those released fish is assumed to have survived, which would skew the ratio even more towards retained fish. Options: @@ -320,14 +322,15 @@ Options: The fish in Washington also look slightly larger than those in Oregon and California. This difference is more pronounced than it is in survey data, indicating a possible selectivity effect. +I am unsure how to filter MRFSS data to measured lengths for WA and CA. The counts in the table above filters lengths to whole numbers (mm). ### At-Sea ```{r ashop-bio} ashop_lengths_old <- readxl::read_excel( - here("Data/Confidential/Oken_YLT_Length data_1976-2023_102824_ASHOP.xlsx"), + here("Data/Confidential/ASHOP/Oken_YLT_Length data_1976-2023_102824_ASHOP.xlsx"), sheet = "YLT_Length data 1976-1989") ashop_lengths_new <- suppressWarnings( - readxl::read_excel(here("Data/Confidential/Oken_YLT_Length data_1976-2023_102824_ASHOP.xlsx"), + readxl::read_excel(here("Data/Confidential/ASHOP/Oken_YLT_Length data_1976-2023_102824_ASHOP.xlsx"), sheet = "YLT_Length data1990-2023") # warning is about converting text to numeric ) diff --git a/docs/data_summary_doc_files/figure-html/pacfin-catch-3.png b/docs/data_summary_doc_files/figure-html/pacfin-catch-3.png index 170abebf30cbc2944444cbeee950ecc18c22f03d..9acf5c8c802b03c03201874ff054c50bff0c2496 100644 GIT binary patch literal 21169 zcmd_S2Ut^0(?1+Skbp`T6r_lBrKl9?K|uth34(ML>C!`QMnpuU2+{?jfS@#$9-0jh 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