From 84b52e321cd9db23461d3180a25e4a7c422201c3 Mon Sep 17 00:00:00 2001 From: CarissaGervasi-NOAA Date: Fri, 8 Mar 2024 16:22:16 -0500 Subject: [PATCH] rendering quarto html (pdf took too long) --- .Rhistory | 238 +- .quarto/cites/index.json | 2 +- .quarto/xref/40871caf | 2 +- Report_book_files/Performance_indicators.qmd | 2 +- .../figure-html/unnamed-chunk-2-1.png | Bin 23255 -> 0 bytes .../figure-html/unnamed-chunk-3-1.png | Bin 23415 -> 0 bytes .../figure-html/unnamed-chunk-4-1.png | Bin 14218 -> 0 bytes .../figure-pdf/unnamed-chunk-2-1.pdf | Bin 0 -> 2875340 bytes .../figure-pdf/unnamed-chunk-3-1.pdf | Bin 0 -> 4415236 bytes .../figure-pdf/unnamed-chunk-4-1.pdf | Bin 0 -> 2500700 bytes .../figure-pdf/unnamed-chunk-5-1.pdf | Bin 0 -> 1162952 bytes .../figure-pdf/unnamed-chunk-6-1.pdf | Bin 0 -> 5947620 bytes .../figure-pdf/unnamed-chunk-7-1.pdf | Bin 0 -> 11521688 bytes .../figure-pdf/unnamed-chunk-8-1.pdf | Bin 0 -> 8295 bytes .../figure-pdf/unnamed-chunk-9-1.pdf | Bin 0 -> 3546755 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mode 100644 index.log create mode 100644 index.lot create mode 100644 index.pdf create mode 100644 index.tex create mode 100644 index.toc diff --git a/.Rhistory b/.Rhistory index 4412f06..fa710a6 100644 --- a/.Rhistory +++ b/.Rhistory @@ -1,122 +1,3 @@ -species <- unique(data$SPECIES_CD) -for (i in species) { -# Subset data for the current species -species_data <- filter(data, SPECIES_CD == i) -# format indicator object ----------------------------- -datdata <- species_data$YEAR -inddata <- data.frame(species_data$density) -labs <- c(i, "Density", "") -indnames <- data.frame(matrix(labs, nrow = 3, byrow = F)) -s <- list(labels = indnames, indicators = inddata, datelist = datdata) -class(s) <- "indicatordata" -# save and plot ----------------------------------------- -plotIndicatorTimeSeries(s) -inddata <- s -save(inddata, file = paste("indicator_objects/RUVdensity_", j, "_", i, ".RData", sep = "")) -} -} -calibrated = read.csv("indicator_data/RVC/calibrated_species.csv") -prico = readRDS("indicator_data/RVC/prico_2001_2021_calibrated.rds") -sttstj = readRDS("indicator_data/RVC/sttstj_2001_2021_calibrated.rds") -stx = readRDS("indicator_data/RVC/stx_2001_2021_calibrated.rds") -## Make a list of species -## You can use full scientific names, common names, or -## species codes (first 3 letters of genus, and first 4 of species) -## Only scientific names are case-sensitive -spcs = c("OCY CHRY", "LUT ANAL", "BAL VETU", "EPI GUTT", "SPA AURO", "SPA VIRI") -regions = c("PRICO","STTSTJ","STX") -for(j in regions) { -# call data for the current region -dat = switch(j, -"PRICO" = prico, -"STTSTJ" = sttstj, -"STX" = stx) -## Calculate statistics for entire sampling domain -ddens = getDomainDensity(dat, species = spcs) -# Convert SPECIES_CD to factor to ensure correct ordering in plots -ddens$SPECIES_CD <- factor(ddens$SPECIES_CD) -species <- unique(ddens$SPECIES_CD) -for (i in species) { -# Subset data for the current species -species_data <- filter(ddens, SPECIES_CD == i) -# format indicator object ----------------------------- -datdata <- species_data$YEAR -inddata <- data.frame(species_data$density) -labs <- c(i, "Density", "") -indnames <- data.frame(matrix(labs, nrow = 3, byrow = F)) -s <- list(labels = indnames, indicators = inddata, datelist = datdata) -class(s) <- "indicatordata" -# save and plot ----------------------------------------- -plotIndicatorTimeSeries(s) -inddata <- s -save(inddata, file = paste("indicator_objects/RUVdensity_", j, "_", i, ".RData", sep = "")) -} -} -library(rvc) -calibrated = read.csv("indicator_data/RVC/calibrated_species.csv") -prico = readRDS("indicator_data/RVC/prico_2001_2021_calibrated.rds") -sttstj = readRDS("indicator_data/RVC/sttstj_2001_2021_calibrated.rds") -stx = readRDS("indicator_data/RVC/stx_2001_2021_calibrated.rds") -## Make a list of species -## You can use full scientific names, common names, or -## species codes (first 3 letters of genus, and first 4 of species) -## Only scientific names are case-sensitive -spcs = c("OCY CHRY", "LUT ANAL", "BAL VETU", "EPI GUTT", "SPA AURO", "SPA VIRI") -regions = c("PRICO","STTSTJ","STX") -for(j in regions) { -# call data for the current region -dat = switch(j, -"PRICO" = prico, -"STTSTJ" = sttstj, -"STX" = stx) -## Calculate statistics for entire sampling domain -ddens = getDomainDensity(dat, species = spcs) -# Convert SPECIES_CD to factor to ensure correct ordering in plots -ddens$SPECIES_CD <- factor(ddens$SPECIES_CD) -species <- unique(ddens$SPECIES_CD) -for (i in species) { -# Subset data for the current species -species_data <- filter(ddens, SPECIES_CD == i) -# format indicator object ----------------------------- -datdata <- species_data$YEAR -inddata <- data.frame(species_data$density) -labs <- c(i, "Density", "") -indnames <- data.frame(matrix(labs, nrow = 3, byrow = F)) -s <- list(labels = indnames, indicators = inddata, datelist = datdata) -class(s) <- "indicatordata" -# save and plot ----------------------------------------- -plotIndicatorTimeSeries(s) -inddata <- s -save(inddata, file = paste("indicator_objects/RUVdensity_", j, "_", i, ".RData", sep = "")) -} -} -for(j in regions) { -# call data for the current region -dat = switch(j, -"PRICO" = prico, -"STTSTJ" = sttstj, -"STX" = stx) -## Calculate statistics for entire sampling domain -ddens = getDomainDensity(dat, species = spcs) -# Convert SPECIES_CD to factor to ensure correct ordering in plots -ddens$SPECIES_CD <- factor(ddens$SPECIES_CD) -species <- unique(ddens$SPECIES_CD) -for (i in species) { -# Subset data for the current species -species_data <- filter(ddens, SPECIES_CD == i) -# format indicator object ----------------------------- -datdata <- species_data$YEAR -inddata <- data.frame(species_data$density) -labs <- c(j, paste("Density", i), "") -indnames <- data.frame(matrix(labs, nrow = 3, byrow = F)) -s <- list(labels = indnames, indicators = inddata, datelist = datdata) -class(s) <- "indicatordata" -# save and plot ----------------------------------------- -plotIndicatorTimeSeries(s) -inddata <- s -save(inddata, file = paste("indicator_objects/RUVdensity_", j, "_", i, ".RData", sep = "")) -} -} load("~/My Github Projects/Caribbean-ESR/indicator_objects/RUVdensity_PRICO_BAL VETU.RData") load("~/My Github Projects/Caribbean-ESR/indicator_objects/RUVdensity_PRICO_BAL VETU.RData") test = readRDS("indicator_objects/RUVdensity_PRICO_BAL VETU.RData") @@ -510,3 +391,122 @@ install.packages("ncdf4") library(ncdf4) nc_data = nc_open("../../../Downloads/0190272/2.2/data/0-data/2006-2010.S_density/Year-2006-04.S_density.nc") View(nc_data) +library(plotTimeSeries) +library(spam) +load("../indicator_objects/OceanNAICS.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:2, plotrownum = 2, trendAnalysis = F, sublabel = T) +plotIndicatorTimeSeries(inddata, coltoplot = 1:2, plotrownum = 2, trendAnalysis = T, sublabel = T) +load("../indicator_objects/gini.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:2, plotrownum = 2, trendAnalysis = F, sublabel = T) +plotIndicatorTimeSeries(inddata, coltoplot = 1:2, plotrownum = 2, trendAnalysis = T, sublabel = T) +load("../indicator_objects/NCRMP_coral_cover_richness.RData") +plotIndicatorTimeSeries(inddata, trendAnalysis = F) +plotIndicatorTimeSeries(inddata, trendAnalysis = T) +plotIndicatorTimeSeries(inddata, trendAnalysis = F) +load("../indicator_objects/OA.RData") +plotIndicatorTimeSeries(inddata, trendAnalysis = F) +load("../indicator_objects/DegreeHeatingWeeks.RData") +plotIndicatorTimeSeries(ind, trendAnalysis = F) +plotIndicatorTimeSeries(ind, coltoplot = 1:2, plotrownum = 2, trendAnalysis = T, sublabel = T) +load("../indicator_objects/OceanNAICS.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:2, plotrownum = 2, trendAnalysis = T, sublabel = T) +plotIndicatorTimeSeries(inddata, coltoplot = 1:8, plotrownum = 2, trendAnalysis = T, sublabel = T) +plotIndicatorTimeSeries(inddata, coltoplot = 1:8, plotrownum = 3, trendAnalysis = T, sublabel = T) +load("../indicator_objects/OA.RData") +plotIndicatorTimeSeries(inddata, trendAnalysis = F) +plotIndicatorTimeSeries(inddata, trendAnalysis = T) +load("../indicator_objects/ACEindex.RData") +plotIndicatorTimeSeries(inddata, trendAnalysis = F) +load("../indicator_objects/ACEindex.RData") +plotIndicatorTimeSeries(inddata, trendAnalysis = F) +load("../indicator_objects/OA.RData") +load("../indicator_objects/ACEindex.RData") +load("../indicator_objects/turbidity.RData") +load("../indicator_objects/turbidity.RData") +load("../indicator_objects/turbidity.RData") +load("../indicator_objects/ACEindex.RData") +plotIndicatorTimeSeries(ind, trendAnalysis = F) +plotIndicatorTimeSeries(ind, trendAnalysis = T) +load("../indicator_objects/turbidity.RData") +plotIndicatorTimeSeries(ind, coltoplot = 1:3, plotrownum = 1, trendAnalysis = T) +plotIndicatorTimeSeries(ind, coltoplot = 1:3, plotrownum = 2, trendAnalysis = T) +load("../indicator_objects/beach_litter_un_carib.RData") +plotIndicatorTimeSeries(inddata, trendAnalysis = F) +load("../indicator_objects/marine_debris.RData") +plotIndicatorTimeSeries(inddata, trendAnalysis = F) +load("../indicator_objects/carib_Chl.RData") +plotIndicatorTimeSeries(ind, trendAnalysis = F) +load("../indicator_objects/earthquakes.RData") +plotIndicatorTimeSeries(ind, trendAnalysis = F) +plotIndicatorTimeSeries(ind, trendAnalysis = T) +load("../indicator_objects/disturbance.RData") +plotIndicatorTimeSeries(inddata, trendAnalysis = F) +plotIndicatorTimeSeries(inddata, coltoplot = 1:3, trendAnalysis = T) +plotIndicatorTimeSeries(inddata, coltoplot = 1:3, trendAnalysis = T, sublabel = T) +load("../indicator_objects/Sargassum.RData") +plotIndicatorTimeSeries(inddata, trendAnalysis = T) +load("../indicator_objects/sargassum_innundation_monthly_mean_hu.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:3, sublabel = T, trendAnalysis = T) +load("../indicator_objects/hotel_occupancy_rates_USVI_and_PR).RData") +load("../indicator_objects/hotel_occupancy_rates_USVI_and_PR.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:2, sublabel = T, trendAnalysis = T) +load("../indicator_objects/hotel_occupancy.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:2, sublabel = T, trendAnalysis = T) +load("../indicator_objects/OA.RData") +plotIndicatorTimeSeries(inddata, trendAnalysis = T) +load("../indicator_objects/fish_density.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:3, plotrownum = 2, trendAnalysis = T, sublabel = T) +load("../indicator_objects/fish_density.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:3, plotrownum = 2, trendAnalysis = T, sublabel = T) +load("../indicator_objects/NCRMP_coral_cover_richness.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:6, sublabel = T, trendAnalysis = F) +load("../indicator_objects/coral_spprichness_cover.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:4, sublabel = T, trendAnalysis = F) +plotIndicatorTimeSeries(inddata, coltoplot = 1:4, sublabel = T, trendAnalysis = T) +load("../indicator_objects/Carib_SST.RData") +plotIndicatorTimeSeries(ind, coltoplot = 1:3, plotrownum = 2, trendAnalysis = T, sublabel = T) +load("../indicator_objects/total_landings.RData") +plotIndicatorTimeSeries(ind, coltoplot = 1:9, plotrownum = 3, trendAnalysis = T, sublabel = T) +plotIndicatorTimeSeries(inddata, coltoplot = 1:9, plotrownum = 3, trendAnalysis = T, sublabel = T) +plotIndicatorTimeSeries(inddata, coltoplot = 1:9, plotcolnum = 3, trendAnalysis = T, sublabel = T) +plotIndicatorTimeSeries(inddata, coltoplot = 1:9, hgtadj = 5, trendAnalysis = T, sublabel = T) +load("../indicator_objects/total_landings.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:9, , trendAnalysis = T, sublabel = T) +plotIndicatorTimeSeries(inddata, coltoplot = 1:9, trendAnalysis = T, sublabel = T) +load("../indicator_objects/total_landings.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:9, trendAnalysis = T, sublabel = T) +load("../indicator_objects/gini.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:3, plotrownum = 2, trendAnalysis = T, sublabel = T) +load("../indicator_objects/total_rec_catch.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:2, , trendAnalysis = T, sublabel = T) +plotIndicatorTimeSeries(inddata, coltoplot = 1:2, trendAnalysis = T, sublabel = T) +plotIndicatorTimeSeries(inddata, coltoplot = 1:2, widadj = 4, trendAnalysis = T, sublabel = T) +plotIndicatorTimeSeries(inddata, coltoplot = 1:2, widadj = 10, trendAnalysis = T, sublabel = T) +plotIndicatorTimeSeries(inddata, coltoplot = 1:2, trendAnalysis = T, sublabel = T) +load("../indicator_objects/DegreeHeatingWeeks.RData") +plotIndicatorTimeSeries(ind, coltoplot = 1:3, trendAnalysis = T, sublabel = T, anom = stmon) +plotIndicatorTimeSeries(ind, coltoplot = 1:2, trendAnalysis = T, sublabel = T, anom = stmon) +plotIndicatorTimeSeries(ind, coltoplot = 1:2, trendAnalysis = T, sublabel = T, anom = mon) +plotIndicatorTimeSeries(ind, coltoplot = 1:2, trendAnalysis = T, sublabel = T, dateformat = "%Y%M") +plotIndicatorTimeSeries(ind, coltoplot = 1:2, trendAnalysis = T, sublabel = T, dateformat = "%Y%m") +plotIndicatorTimeSeries(ind, coltoplot = 1:2, trendAnalysis = T, sublabel = T, dateformat = "%Y%m", plotrownum = 2, plotcolnum = 1) +load("../indicator_objects/turbidity.RData") +plotIndicatorTimeSeries(ind, coltoplot = 1:3, plotrownum = 2, trendAnalysis = T, dateformat = "%m%-%Y") +plotIndicatorTimeSeries(ind, coltoplot = 1:3, plotrownum = 2, trendAnalysis = T, dateformat = "%m-%Y") +plotIndicatorTimeSeries(ind, coltoplot = 1:3, plotrownum = 2, trendAnalysis = T, dateformat = "%m-%Y", sublabel = T) +load("../indicator_objects/Carib_SST.RData") +plotIndicatorTimeSeries(ind, coltoplot = 1:3, plotrownum = 2, trendAnalysis = T, sublabel = T, dateformat = "%m-%Y") +plotIndicatorTimeSeries(ind, coltoplot = 1:3, trendAnalysis = T, sublabel = T, dateformat = "%m-%Y") +load("../indicator_objects/carib_Chl.RData") +plotIndicatorTimeSeries(ind, trendAnalysis = F, dateformat = "%m-%Y") +plotIndicatorTimeSeries(ind, trendAnalysis = T, dateformat = "%m-%Y") +load("../indicator_objects/sargassum_innundation_monthly_mean_hu.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:3, sublabel = T, trendAnalysis = T, dateformat = "%Y%b") +load("../indicator_objects/hotel_occupancy_rates_USVI_and_PR.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:2, sublabel = T, trendAnalysis = T, dateformat = "%Y%b") +load("../indicator_objects/hotel_occupancy.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:2, sublabel = T, trendAnalysis = T, dateformat = "%Y%b") +load("../indicator_objects/landings.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:6, trendAnalysis = T, sublabel = T) +load("../indicator_objects/total_landings.RData") +plotIndicatorTimeSeries(inddata, coltoplot = 1:9, plotrownum = 3, plotcolnum = 3, trendAnalysis = T, sublabel = T) diff --git a/.quarto/cites/index.json b/.quarto/cites/index.json index 6c1f546..3f4d80c 100644 --- a/.quarto/cites/index.json +++ b/.quarto/cites/index.json @@ -1 +1 @@ -{"index.qmd":[],"OA.qmd":[],"Report_book_files\\Report4.qmd":[],"Report_book_files\\FMP_objectives.qmd":[],"Report_book_files\\Discussion_material.qmd":[],"Report_book_files\\Risk_indicators.qmd":[],"Lab-report\\OA.qmd":[],"Report_book_files\\Performance_indicators.qmd":[],"Report_book_files\\Intro_text.qmd":[]} +{"Report_book_files\\Discussion_material.qmd":[],"OA.qmd":[],"Report_book_files\\Intro_text.qmd":[],"index.qmd":[],"Report_book_files\\FMP_objectives.qmd":[],"Report_book_files\\Performance_indicators.qmd":[],"Report_book_files\\Risk_indicators.qmd":[],"Report_book_files\\Report4.qmd":[],"Lab-report\\OA.qmd":[]} diff --git a/.quarto/xref/40871caf b/.quarto/xref/40871caf index c19d214..00388d9 100644 --- a/.quarto/xref/40871caf +++ b/.quarto/xref/40871caf @@ -1 +1 @@ -{"headings":["executive-summary"],"entries":[],"options":{"chapters":true}} \ No newline at end of file +{"entries":[],"options":{"chapters":true},"headings":["executive-summary"]} \ No newline at end of file diff --git a/Report_book_files/Performance_indicators.qmd b/Report_book_files/Performance_indicators.qmd index 97e8110..56dd837 100644 --- a/Report_book_files/Performance_indicators.qmd +++ b/Report_book_files/Performance_indicators.qmd @@ -26,7 +26,7 @@ plotIndicatorTimeSeries(inddata, coltoplot = 1:6, trendAnalysis = T, sublabel = ```{r, message = FALSE, warnings = FALSE} load("../indicator_objects/total_landings.RData") -plotIndicatorTimeSeries(inddata, coltoplot = 1:9, trendAnalysis = T, sublabel = T) +plotIndicatorTimeSeries(inddata, coltoplot = 1:9, plotrownum = 3, plotcolnum = 3, trendAnalysis = T, sublabel = T) ``` ```{r} diff --git a/Report_book_files/Performance_indicators_files/figure-html/unnamed-chunk-2-1.png 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