From 5d4c66a8ef05094260d5d5babd437d4d3232b71e Mon Sep 17 00:00:00 2001 From: fawda123 Date: Fri, 12 Apr 2024 08:47:11 -0400 Subject: [PATCH] added dapis option for all seagrass analyzes and viz --- DESCRIPTION | 4 ++-- R/anlz_transectavespp.R | 8 ++++---- R/anlz_transectocc.R | 6 ++++-- R/show_transect.R | 17 ++++++++++------- R/show_transectavespp.R | 14 +++++++------- R/show_transectsum.R | 10 +++++----- R/transect.R | 4 ++-- data/transect.RData | Bin 187744 -> 187744 bytes man/anlz_transectavespp.Rd | 5 +++-- man/anlz_transectocc.Rd | 2 +- man/show_transect.Rd | 11 +++++++---- man/show_transectavespp.Rd | 7 ++++--- man/show_transectsum.Rd | 5 +++-- man/transect.Rd | 4 ++-- tests/testthat/test-anlz_transectavespp.R | 4 ++-- vignettes/seagrasstransect.Rmd | 4 ++-- 16 files changed, 58 insertions(+), 47 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 5d2e0946..43d4e771 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: tbeptools Title: Data and Indicators for the Tampa Bay Estuary Program -Version: 2.0.1.9021 -Date: 2024-03-20 +Version: 2.0.1.9022 +Date: 2024-04-12 Authors@R: c( person(given = "Marcus", family = "Beck", diff --git a/R/anlz_transectavespp.R b/R/anlz_transectavespp.R index 3dcfa33f..a798028b 100644 --- a/R/anlz_transectavespp.R +++ b/R/anlz_transectavespp.R @@ -3,7 +3,7 @@ #' @param transectocc data frame returned by \code{\link{anlz_transectocc}} #' @param bay_segment chr string for the bay segment, one to many of "OTB", "HB", "MTB", "LTB", "BCB" #' @param yrrng numeric indicating year ranges to evaluate -#' @param species chr string of species to summarize, one to many of "Halodule", "Syringodium", "Thalassia", "Ruppia", "Halophila", "Caulerpa" +#' @param species chr string of species to summarize, one to many of "Halodule", "Syringodium", "Thalassia", "Ruppia", "Halophila", "Caulerpa", "Dapis" #' @param total logical indicating if total frequency occurrence for all species is also returned #' @param by_seg logical indicating if separate results by bay segments are retained #' @@ -24,15 +24,15 @@ #' transectocc <- anlz_transectocc(transect) #' anlz_transectavespp(transectocc) anlz_transectavespp <- function(transectocc, bay_segment = c('OTB', 'HB', 'MTB', 'LTB', 'BCB'), yrrng = c(1998, 2023), - species = c('Halodule', 'Syringodium', 'Thalassia', 'Ruppia', 'Halophila', 'Caulerpa'), + species = c('Halodule', 'Syringodium', 'Thalassia', 'Ruppia', 'Halophila', 'Caulerpa', 'Dapis'), total = TRUE, by_seg = FALSE){ # sanity checks stopifnot(length(yrrng) == 2) stopifnot(yrrng[1] < yrrng[2]) - if(!any(species %in% c('Halodule', 'Syringodium', 'Thalassia', 'Ruppia', 'Halophila', 'Caulerpa'))) - stop('Incorrect species, must be one of Halodule, Syringodium, Thalassia, Ruppia, Halophila, Caulerpa') + if(!any(species %in% c('Halodule', 'Syringodium', 'Thalassia', 'Ruppia', 'Halophila', 'Caulerpa', 'Dapis'))) + stop('Incorrect species, must be one of Halodule, Syringodium, Thalassia, Ruppia, Halophila, Caulerpa, Dapis') if(!any(bay_segment %in% c('OTB', 'HB', 'MTB', 'LTB', 'BCB'))) stop('Incorrect bay_segment, must be one of OTB, HB, MTB, LTB, BCB') diff --git a/R/anlz_transectocc.R b/R/anlz_transectocc.R index 85be0a89..36702686 100644 --- a/R/anlz_transectocc.R +++ b/R/anlz_transectocc.R @@ -5,7 +5,7 @@ #' @return A data frame with abundance and frequency occurrence estimates aggregated by species, transect, and date. The nsites column is the total number of placements that were sampled along a transect for a particular date. #' @export #' -#' @details Abundance and frequency occurrence are estimated as in Sherwood et al. 2017, equations 1 and 2. In short, frequency occurrence is estimated as the number of instances a species was observed along a transect divided by the number of placements along a transect and average abundance was estimated as the sum of species-specific Braun-Blanquet scores divided by the number of placements along a transect. The estimates are obtained for all seagrass species including Caulerpa, whereas all attached and drift algae species are aggregated. +#' @details Abundance and frequency occurrence are estimated as in Sherwood et al. 2017, equations 1 and 2. In short, frequency occurrence is estimated as the number of instances a species was observed along a transect divided by the number of placements along a transect and average abundance was estimated as the sum of species-specific Braun-Blanquet scores divided by the number of placements along a transect. The estimates are obtained for all seagrass species including Caulerpa (attached macroalgae) and Dapis (cyanobacteria), whereas all attached and drift algae species are aggregated. Drift or attached macroalgae and cyanobacteria (Dapis) estimates may not be accurate prior to 2021. #' #' @concept analyze #' @@ -28,7 +28,9 @@ anlz_transectocc <- function(transect){ Savspecies = ifelse(grepl('Caulerpa', Savspecies), 'Caulerpa', ifelse(grepl('^AA', Savspecies), 'AA', ifelse(grepl('^DA', Savspecies), 'DA', - Savspecies + ifelse(grepl('Dapis', Savspecies), 'Dapis', + Savspecies + ) ) ) ) diff --git a/R/show_transect.R b/R/show_transect.R index cc1d29de..2db9fb4e 100644 --- a/R/show_transect.R +++ b/R/show_transect.R @@ -16,7 +16,7 @@ #' @return A \code{\link[ggplot2]{ggplot}} object #' @export #' -#' @details All sites along a transect that were surveyed are shown in the plot, including those where the selected species were not found. The latter is colored in grey hollow points. Species options include Halodule, Syringodium, Thalassia, Halophila, Ruppia, and/or Caulerpa. +#' @details All sites along a transect that were surveyed are shown in the plot, including those where the selected species were not found. The latter is colored in grey hollow points. Species options include Halodule, Syringodium, Thalassia, Halophila, Ruppia, Caulerpa (attached macroalgae), and/or Dapis (cyanobacteria). Drift or attached macroalgae and cyanobacteria (Dapis) estimates may not be accurate prior to 2021. #' #' Note that if \code{plotly = TRUE}, the size legend is not shown. #' @@ -34,19 +34,21 @@ #' #' # multiple species, one plot #' show_transect(transect, site = 'S3T10', -#' species = c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', 'Caulerpa'), +#' species = c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', +#' 'Caulerpa', 'Dapis'), #' varplo = 'Abundance') #' #' # multiple species, multiple plots #' show_transect(transect, site = 'S3T10', -#' species = c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', 'Caulerpa'), +#' species = c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', +#' 'Caulerpa', 'Dapis'), #' varplo = 'Abundance', facet = TRUE) -show_transect <- function(transect, site, species = c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', 'Caulerpa'), +show_transect <- function(transect, site, species = c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', 'Caulerpa', 'Dapis'), yrrng = c(1998, 2023), varplo = c('Abundance', 'Blade Length', 'Short Shoot Density'), base_size = 12, facet = FALSE, ncol = NULL, plotly = FALSE, width = NULL, height = NULL, sppcol = NULL){ # species pool - spp <- c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', 'Caulerpa') + spp <- c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', 'Caulerpa', 'Dapis') # sanity checks if(!site %in% transect$Transect) @@ -61,7 +63,7 @@ show_transect <- function(transect, site, species = c('Halodule', 'Syringodium', # check correct length of optional color vector if(!is.null(sppcol)) if(length(sppcol) != length(spp)) - stop('sppcol required length is six') + stop('sppcol required length is seven') varplo <- match.arg(varplo) @@ -73,6 +75,7 @@ show_transect <- function(transect, site, species = c('Halodule', 'Syringodium', dplyr::mutate( Savspecies = dplyr::case_when( grepl('Caulerpa', Savspecies) ~ 'Caulerpa', + grepl('Dapis', Savspecies) ~ 'Dapis', T ~ Savspecies ) ) %>% @@ -97,7 +100,7 @@ show_transect <- function(transect, site, species = c('Halodule', 'Syringodium', # sort color palette so its the same regardless of species selected if(is.null(sppcol)) - sppcol <- c('#ED90A4', '#CCA65A', '#7EBA68', '#6FB1E7', '#00C1B2', '#D400FF') + sppcol <- c('#ED90A4', '#CCA65A', '#7EBA68', '#6FB1E7', '#00C1B2', '#D400FF', '#8B2323') names(sppcol) <- spp sppcol <- sppcol[levels(dat$name)] diff --git a/R/show_transectavespp.R b/R/show_transectavespp.R index 1b42a065..74e6c8b9 100644 --- a/R/show_transectavespp.R +++ b/R/show_transectavespp.R @@ -3,7 +3,7 @@ #' @param transectocc data frame returned by \code{\link{anlz_transectocc}} #' @param bay_segment chr string for the bay segment, one to many of "OTB", "HB", "MTB", "LTB", "BCB" #' @param yrrng numeric indicating year ranges to evaluate -#' @param species chr string of species to summarize, one to many of "Halodule", "Syringodium", "Thalassia", "Ruppia", "Halophila", "Caulerpa" +#' @param species chr string of species to summarize, one to many of "Halodule", "Syringodium", "Thalassia", "Ruppia", "Halophila", "Caulerpa", "Dapis" #' @param total logical indicating if total frequency occurrence for all species is also returned, only applies if \code{asreact = FALSE} #' @param alph numeric indicating alpha value for score category colors #' @param family optional chr string indicating font family for text labels @@ -13,7 +13,7 @@ #' @param height numeric for height of the plot in pixels, only applies of \code{plotly = TRUE} #' @param sppcol character vector of alternative colors to use for each species, must have length of six #' -#' @details Results are based on averages across species by date and transect in each bay segment +#' @details Results are based on averages across species by date and transect in each bay segment. Drift or attached macroalgae (e.g., Caulerpa) and cyanobacteria (Dapis) estimates may not be accurate prior to 2021. #' #' @return If \code{asreact = F}, a \code{\link[ggplot2]{ggplot}} or \code{\link[plotly]{plotly}} (if \code{plotly = T}) object is returned showing trends over time by species for selected bay segments. If \code{asreact = T}, a \code{\link[reactable]{reactable}} table showing results by year, segment, and species is returned. #' @export @@ -34,14 +34,14 @@ #' transectocc <- anlz_transectocc(transect) #' show_transectavespp(transectocc) show_transectavespp <- function(transectocc, bay_segment = c('OTB', 'HB', 'MTB', 'LTB', 'BCB'), yrrng = c(1998, 2023), - species = c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', 'Caulerpa'), + species = c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', 'Caulerpa', 'Dapis'), total = TRUE, alph = 1, family = NA, plotly = FALSE, asreact = FALSE, width = NULL, height = NULL, sppcol = NULL){ # check correct length of optional color vector if(!is.null(sppcol)){ - if(length(sppcol) != 6) - stop('sppcol required length is six') + if(length(sppcol) != 7) + stop('sppcol required length is seven') sppcol <- c('#FFFFFF', sppcol) @@ -58,8 +58,8 @@ show_transectavespp <- function(transectocc, bay_segment = c('OTB', 'HB', 'MTB', # sort color palette so its the same regardless of species selected if(is.null(sppcol)) - sppcol <- c('#FFFFFF', '#ED90A4', '#CCA65A', '#7EBA68', '#6FB1E7', '#00C1B2', '#D400FF') - names(sppcol) <- c('total', 'Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', 'Caulerpa') + sppcol <- c('#FFFFFF', '#ED90A4', '#CCA65A', '#7EBA68', '#6FB1E7', '#00C1B2', '#D400FF', '#8B2323') + names(sppcol) <- c('total', 'Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', 'Caulerpa', 'Dapis') sppcol <- sppcol[levels(toplo$Savspecies)] p <- ggplot2::ggplot(toplo, ggplot2::aes(x = yr, y = fo, fill = Savspecies)) + diff --git a/R/show_transectsum.R b/R/show_transectsum.R index 48cc7721..e86fa233 100644 --- a/R/show_transectsum.R +++ b/R/show_transectsum.R @@ -10,7 +10,7 @@ #' @return A \code{\link[plotly]{plotly}} object #' @export #' -#' @details This plot provides a quick visual assessment of how frequency occurrence or abundance for multiple species has changed over time at a selected transect. +#' @details This plot provides a quick visual assessment of how frequency occurrence or abundance for multiple species has changed over time at a selected transect. Drift or attached macroalgae (e.g., Caulerpa) and cyanobacteria (Dapis) estimates may not be accurate prior to 2021. #' #' @importFrom dplyr %>% #' @@ -22,11 +22,11 @@ #' } #' transectocc <- anlz_transectocc(transect) #' show_transectsum(transectocc, site = 'S3T10') -show_transectsum <- function(transectocc, site, species = c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', 'Caulerpa'), +show_transectsum <- function(transectocc, site, species = c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', 'Caulerpa', 'Dapis'), yrrng = c(1998, 2023), abund = FALSE, sppcol = NULL){ # species pool - spp <- c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', 'Caulerpa') + spp <- c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', 'Caulerpa', 'Dapis') # sanity checks if(!site %in% transectocc$Transect) @@ -41,7 +41,7 @@ show_transectsum <- function(transectocc, site, species = c('Halodule', 'Syringo # check correct length of optional color vector if(!is.null(sppcol)) if(length(sppcol) != length(spp)) - stop('sppcol required length is six') + stop('sppcol required length is seven') # sort out variable names and labels val <- 'foest' @@ -67,7 +67,7 @@ show_transectsum <- function(transectocc, site, species = c('Halodule', 'Syringo # sort color palette so its the same regardless of species selected if(is.null(sppcol)) - sppcol <- c('#ED90A4', '#CCA65A', '#7EBA68', '#6FB1E7', '#00C1B2', '#D400FF') + sppcol <- c('#ED90A4', '#CCA65A', '#7EBA68', '#6FB1E7', '#00C1B2', '#D400FF', '#8B2323') names(sppcol) <- spp sppcol <- sppcol[levels(toplo$Savspecies)] diff --git a/R/transect.R b/R/transect.R index d43fdc23..b70f20eb 100644 --- a/R/transect.R +++ b/R/transect.R @@ -1,6 +1,6 @@ -#' Seagrass transect data for Tampa Bay current as of 12062023 +#' Seagrass transect data for Tampa Bay current as of 04122024 #' -#' Seagrass transect data for Tampa Bay current as of 12062023 +#' Seagrass transect data for Tampa Bay current as of 04122024 #' 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zr$zp#u`w`Np{$#*Q(~>I{2V~p7O`SU0``o$7g?yTdJq5C97eZBUVR@eC#6N;|1I>t zHClg?sR9DeUHLm#1kaLx$n|8k1)=bQ1;uJZFV|*Pf8BthtKIUJ`%x9gkBp{85+7*d z+O(b9ficEip{q^;&zpW4o+wE|;;45=cztgARRUsS3cpFYqJ2mU4l<_+(u}PQeiNZh zcz>j!A>Q7QSK}L<=71e$5TD&#ZzYBOEKYylCTh)~*Xp|Y$jDs_*&L_$&IA5Ws5n|> zvtGhBMGKNw_O!wyyyg`4cxu7$74u>7KMl6PLFVUen64eSck!KJ_`cV_N6%)2K2HuC~r)uEJlmuzCaa9eVl44DK$Z~|HJunZKS+BY<@upG z(J|{i`hHtT!QIcwhIz*^h;c-MjO!yK007Oz1Z4mLx4H}P*YOAd008!w^o^V2Q9uI# J00001Sz7CZEAapT diff --git a/man/anlz_transectavespp.Rd b/man/anlz_transectavespp.Rd index f420bd8e..1780d0ff 100644 --- a/man/anlz_transectavespp.Rd +++ b/man/anlz_transectavespp.Rd @@ -8,7 +8,8 @@ anlz_transectavespp( transectocc, bay_segment = c("OTB", "HB", "MTB", "LTB", "BCB"), yrrng = c(1998, 2023), - species = c("Halodule", "Syringodium", "Thalassia", "Ruppia", "Halophila", "Caulerpa"), + species = c("Halodule", "Syringodium", "Thalassia", "Ruppia", "Halophila", "Caulerpa", + "Dapis"), total = TRUE, by_seg = FALSE ) @@ -20,7 +21,7 @@ anlz_transectavespp( \item{yrrng}{numeric indicating year ranges to evaluate} -\item{species}{chr string of species to summarize, one to many of "Halodule", "Syringodium", "Thalassia", "Ruppia", "Halophila", "Caulerpa"} +\item{species}{chr string of species to summarize, one to many of "Halodule", "Syringodium", "Thalassia", "Ruppia", "Halophila", "Caulerpa", "Dapis"} \item{total}{logical indicating if total frequency occurrence for all species is also returned} diff --git a/man/anlz_transectocc.Rd b/man/anlz_transectocc.Rd index ff386c42..294c9314 100644 --- a/man/anlz_transectocc.Rd +++ b/man/anlz_transectocc.Rd @@ -16,7 +16,7 @@ A data frame with abundance and frequency occurrence estimates aggregated by spe Get seagrass average abundance and occurrence across transects } \details{ -Abundance and frequency occurrence are estimated as in Sherwood et al. 2017, equations 1 and 2. In short, frequency occurrence is estimated as the number of instances a species was observed along a transect divided by the number of placements along a transect and average abundance was estimated as the sum of species-specific Braun-Blanquet scores divided by the number of placements along a transect. The estimates are obtained for all seagrass species including Caulerpa, whereas all attached and drift algae species are aggregated. +Abundance and frequency occurrence are estimated as in Sherwood et al. 2017, equations 1 and 2. In short, frequency occurrence is estimated as the number of instances a species was observed along a transect divided by the number of placements along a transect and average abundance was estimated as the sum of species-specific Braun-Blanquet scores divided by the number of placements along a transect. The estimates are obtained for all seagrass species including Caulerpa (attached macroalgae) and Dapis (cyanobacteria), whereas all attached and drift algae species are aggregated. Drift or attached macroalgae and cyanobacteria (Dapis) estimates may not be accurate prior to 2021. } \examples{ \dontrun{ diff --git a/man/show_transect.Rd b/man/show_transect.Rd index 93e54f12..60d34338 100644 --- a/man/show_transect.Rd +++ b/man/show_transect.Rd @@ -7,7 +7,8 @@ show_transect( transect, site, - species = c("Halodule", "Syringodium", "Thalassia", "Halophila", "Ruppia", "Caulerpa"), + species = c("Halodule", "Syringodium", "Thalassia", "Halophila", "Ruppia", "Caulerpa", + "Dapis"), yrrng = c(1998, 2023), varplo = c("Abundance", "Blade Length", "Short Shoot Density"), base_size = 12, @@ -51,7 +52,7 @@ A \code{\link[ggplot2]{ggplot}} object Plot results for a seagrass transect by time and location } \details{ -All sites along a transect that were surveyed are shown in the plot, including those where the selected species were not found. The latter is colored in grey hollow points. Species options include Halodule, Syringodium, Thalassia, Halophila, Ruppia, and/or Caulerpa. +All sites along a transect that were surveyed are shown in the plot, including those where the selected species were not found. The latter is colored in grey hollow points. Species options include Halodule, Syringodium, Thalassia, Halophila, Ruppia, Caulerpa (attached macroalgae), and/or Dapis (cyanobacteria). Drift or attached macroalgae and cyanobacteria (Dapis) estimates may not be accurate prior to 2021. Note that if \code{plotly = TRUE}, the size legend is not shown. } @@ -65,12 +66,14 @@ show_transect(transect, site = 'S3T10', species = 'Halodule', varplo = 'Abundanc # multiple species, one plot show_transect(transect, site = 'S3T10', - species = c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', 'Caulerpa'), + species = c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', + 'Caulerpa', 'Dapis'), varplo = 'Abundance') # multiple species, multiple plots show_transect(transect, site = 'S3T10', - species = c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', 'Caulerpa'), + species = c('Halodule', 'Syringodium', 'Thalassia', 'Halophila', 'Ruppia', + 'Caulerpa', 'Dapis'), varplo = 'Abundance', facet = TRUE) } \concept{show} diff --git a/man/show_transectavespp.Rd b/man/show_transectavespp.Rd index 1f71c931..955fd032 100644 --- a/man/show_transectavespp.Rd +++ b/man/show_transectavespp.Rd @@ -8,7 +8,8 @@ show_transectavespp( transectocc, bay_segment = c("OTB", "HB", "MTB", "LTB", "BCB"), yrrng = c(1998, 2023), - species = c("Halodule", "Syringodium", "Thalassia", "Halophila", "Ruppia", "Caulerpa"), + species = c("Halodule", "Syringodium", "Thalassia", "Halophila", "Ruppia", "Caulerpa", + "Dapis"), total = TRUE, alph = 1, family = NA, @@ -26,7 +27,7 @@ show_transectavespp( \item{yrrng}{numeric indicating year ranges to evaluate} -\item{species}{chr string of species to summarize, one to many of "Halodule", "Syringodium", "Thalassia", "Ruppia", "Halophila", "Caulerpa"} +\item{species}{chr string of species to summarize, one to many of "Halodule", "Syringodium", "Thalassia", "Ruppia", "Halophila", "Caulerpa", "Dapis"} \item{total}{logical indicating if total frequency occurrence for all species is also returned, only applies if \code{asreact = FALSE}} @@ -51,7 +52,7 @@ If \code{asreact = F}, a \code{\link[ggplot2]{ggplot}} or \code{\link[plotly]{pl Show annual averages of seagrass frequency occurrence by bay segments, year, and species } \details{ -Results are based on averages across species by date and transect in each bay segment +Results are based on averages across species by date and transect in each bay segment. Drift or attached macroalgae (e.g., Caulerpa) and cyanobacteria (Dapis) estimates may not be accurate prior to 2021. } \examples{ \dontrun{ diff --git a/man/show_transectsum.Rd b/man/show_transectsum.Rd index c25da9fb..a72311b3 100644 --- a/man/show_transectsum.Rd +++ b/man/show_transectsum.Rd @@ -7,7 +7,8 @@ show_transectsum( transectocc, site, - species = c("Halodule", "Syringodium", "Thalassia", "Halophila", "Ruppia", "Caulerpa"), + species = c("Halodule", "Syringodium", "Thalassia", "Halophila", "Ruppia", "Caulerpa", + "Dapis"), yrrng = c(1998, 2023), abund = FALSE, sppcol = NULL @@ -33,7 +34,7 @@ A \code{\link[plotly]{plotly}} object Plot frequency occurrence for a seagrass transect by time for all species } \details{ -This plot provides a quick visual assessment of how frequency occurrence or abundance for multiple species has changed over time at a selected transect. +This plot provides a quick visual assessment of how frequency occurrence or abundance for multiple species has changed over time at a selected transect. Drift or attached macroalgae (e.g., Caulerpa) and cyanobacteria (Dapis) estimates may not be accurate prior to 2021. } \examples{ \dontrun{ diff --git a/man/transect.Rd b/man/transect.Rd index b85c604c..9fd61863 100644 --- a/man/transect.Rd +++ b/man/transect.Rd @@ -3,7 +3,7 @@ \docType{data} \name{transect} \alias{transect} -\title{Seagrass transect data for Tampa Bay current as of 12062023} +\title{Seagrass transect data for Tampa Bay current as of 04122024} \format{ A data frame with 152580 rows and 11 variables: \describe{ @@ -24,7 +24,7 @@ A data frame with 152580 rows and 11 variables: transect } \description{ -Seagrass transect data for Tampa Bay current as of 12062023 +Seagrass transect data for Tampa Bay current as of 04122024 } \examples{ \dontrun{ diff --git a/tests/testthat/test-anlz_transectavespp.R b/tests/testthat/test-anlz_transectavespp.R index 4a1c6bab..e06ca4f1 100644 --- a/tests/testthat/test-anlz_transectavespp.R +++ b/tests/testthat/test-anlz_transectavespp.R @@ -13,7 +13,7 @@ test_that("Checking results for anlz_transectavespp", { results <- results[1, ] expect_equal(results, structure(list(yr = 1998, Savspecies = structure(7L, .Label = c("total", "Halodule", "Syringodium", "Thalassia", "Ruppia", "Halophila", - "Caulerpa"), class = "factor"), foest = 0.0166083916083916), row.names = c(NA, + "Caulerpa", "Dapis"), class = "factor"), foest = 0.0166083916083916), row.names = c(NA, -1L), class = c("tbl_df", "tbl", "data.frame"))) }) @@ -24,7 +24,7 @@ test_that("Checking results for anlz_transectavespp by segment", { expect_equal(results, structure(list(yr = 1998, bay_segment = structure(5L, .Label = c("OTB", "HB", "MTB", "LTB", "BCB"), class = "factor"), Savspecies = structure(8L, .Label = c("No Cover", "total", "Halodule", "Syringodium", "Thalassia", "Ruppia", "Halophila", - "Caulerpa"), class = "factor"), foest = 0, nsites = 96L), row.names = c(NA, + "Caulerpa", "Dapis"), class = "factor"), foest = 0, nsites = 96L), row.names = c(NA, -1L), class = c("tbl_df", "tbl", "data.frame"))) }) diff --git a/vignettes/seagrasstransect.Rmd b/vignettes/seagrasstransect.Rmd index 494aaa06..c2d20283 100644 --- a/vignettes/seagrasstransect.Rmd +++ b/vignettes/seagrasstransect.Rmd @@ -88,7 +88,7 @@ transectraw The rest of the seagrass functions in tbeptools were developed to work with the complete database. Only the `show_complot()` function (see below) was developed for the training data. The rest of the functions can be used to estimate and plot frequency occurrence data. -The `anlz_transectocc()` function summarizes frequency occurrence for all transects and dates by collapsing species results across quadrats within each transect. Abundance and frequency occurrence are estimated as in Sherwood et al. 2017, equations 1 and 2 [@tbep0917]. In short, frequency occurrence is estimated as the number of instances a species was observed along a transect divided by the number of placements along a transect and average abundance was estimated as the sum of species-specific Braun-Blanquet scores divided by the number of placements along a transect. The estimates are obtained for all seagrass species including Caulerpa spp., whereas all attached and drift algae species are aggregated. +The `anlz_transectocc()` function summarizes frequency occurrence for all transects and dates by collapsing species results across quadrats within each transect. Abundance and frequency occurrence are estimated as in Sherwood et al. 2017, equations 1 and 2 [@tbep0917]. In short, frequency occurrence is estimated as the number of instances a species was observed along a transect divided by the number of placements along a transect and average abundance was estimated as the sum of species-specific Braun-Blanquet scores divided by the number of placements along a transect. The estimates are obtained for all seagrass species, including Caulerpa spp. (attached macroalgae) and Dapis (cyanobacteria), whereas all attached and drift algae species are aggregated. Drift or attached macroalgae and cyanobacteria (Dapis) estimates may not be accurate prior to 2021. ```{r} transectocc <- anlz_transectocc(transect) @@ -102,7 +102,7 @@ transectave <- anlz_transectave(transectocc) transectave ``` -The third function, `anlz_transectavespp()`, takes the results from `anlz_transectocc()` and estimates annual averages across major bay segments as in the last function, but results are retained for individual species. This function is used internally within the `show_transectavespp()` function to create summary plots. All summaries are aggregated across the selected bay segments, i.e., the default is to average by species/year across all segments. Results for an individual bay segment can be returned with the appropriate argument, e.g., by using `bay_segment = 'OTB'` to select only Old Tampa Bay. Results can also be filtered by specific species using the `species` argument, where the default is to return all. *Caulerpa spp.* are also included. +The third function, `anlz_transectavespp()`, takes the results from `anlz_transectocc()` and estimates annual averages across major bay segments as in the last function, but results are retained for individual species. This function is used internally within the `show_transectavespp()` function to create summary plots. All summaries are aggregated across the selected bay segments, i.e., the default is to average by species/year across all segments. Results for an individual bay segment can be returned with the appropriate argument, e.g., by using `bay_segment = 'OTB'` to select only Old Tampa Bay. Results can also be filtered by specific species using the `species` argument, where the default is to return all. *Caulerpa spp.* and *Dapis spp.* are also included. ```{r} transectavespp <- anlz_transectavespp(transectocc)