From 93a505b5fae07640d1b05b1eb4a30a0b241b62f9 Mon Sep 17 00:00:00 2001 From: Adam Date: Thu, 15 Dec 2022 13:33:51 -0500 Subject: [PATCH 1/6] removed "gmri ____" from the colors, also added a name drop so they work better with scale_color_manual. Miguel's fix for box_paths also added --- DESCRIPTION | 4 +--- R/general_helpers.R | 3 +-- R/ggthemes.R | 5 ++--- R/gmri_palettes.R | 24 ++++++++++++++---------- R/oisst_mainstays_data_access.R | 4 ++-- man/gmRi-package.Rd | 2 +- man/gmri_cols.Rd | 4 +--- man/oisst_access_timeseries.Rd | 2 +- vignettes/oisst_howto.Rmd | 1 - 9 files changed, 23 insertions(+), 26 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index d393433..dcd3371 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -16,7 +16,7 @@ Description: Common routines and utilities for performing various License: CC0 Encoding: UTF-8 LazyData: true -RoxygenNote: 7.1.2 +RoxygenNote: 7.2.2 Suggests: knitr, rmarkdown, @@ -36,12 +36,10 @@ Imports: ggplot2 (>= 2.1.1), grDevices (>= 3.0.0), dplyr, - here, ncdf4, raster, rlang, magick, - sp, lubridate, ggthemes, shiny, diff --git a/R/general_helpers.R b/R/general_helpers.R index 72defd8..5eb0297 100644 --- a/R/general_helpers.R +++ b/R/general_helpers.R @@ -83,8 +83,7 @@ as_fahrenheit <- function(temp_c, data_type = "temperature"){ -#' @title Convert Daily Stack to Monthly Means -#' +#' @title Convert a Named Daily Raster to Monthly Means Stack #' #' @description Takes a stack of daily data with names of "XYYYY.MM.DD" and #' returns monthly averages. diff --git a/R/ggthemes.R b/R/ggthemes.R index 2497a66..6f30977 100644 --- a/R/ggthemes.R +++ b/R/ggthemes.R @@ -56,7 +56,7 @@ theme_gmri <- function(base_size = 10, # Legend Elements legend.background = ggplot2::element_rect(), - legend.position = "top", + legend.position = "bottom", legend.direction = "horizontal", legend.box = "vertical", legend.title = ggplot2::element_text(size = 9), @@ -77,7 +77,6 @@ theme_gmri <- function(base_size = 10, plot.caption = ggplot2::element_text(size = 7.2, margin = ggplot2::margin(t = 20), color = "gray40"), - #plot.margin = ggplot2::unit(c(1, 1, 1, 1), "lines"), plot.margin = ggplot2::unit(c(1, 1, 2, 1), "lines"), # Facet Details @@ -153,7 +152,7 @@ map_theme <- function(...){ # # getting path to fonts from gmRi package, should work for any user: # gmri_font_paths <- paste0(system.file("stylesheets", package = "gmRi"), "/Fonts/") # -# # Adding the fonts is another challenge after that +# # Adding the fonts is another challenge after that # sysfonts::font_add("http://fast.fonts.net/t/1.css?apiType=css&projectid=806f61f6-d695-4965-a878-820b50bc0269") # # # doesn't work diff --git a/R/gmri_palettes.R b/R/gmri_palettes.R index aafc08e..a138df4 100644 --- a/R/gmri_palettes.R +++ b/R/gmri_palettes.R @@ -6,9 +6,11 @@ gmri_colors <- c( `orange` = "#EA4F12", `yellow` = "#EACA00", `gmri green`= "#ABB400", + `green`= "#ABB400", `dark green`= "#3B4620", `green` = "#407331", `teal` = "#00736D", + `blue` = "#00608A", `gmri blue` = "#00608A", `light gray`= "#E9E9E9", `dark gray` = "#535353" @@ -22,7 +24,6 @@ gmri_colors <- c( #' green, teal, gmri blue, light gray, & dark gray. #' #' @param ... Character names of official GMRI colors -#' @param as_char Boolean T/F determining how the values should be returned. Character values can be passed directly in places a color hexcode is desired. #' @export #' #' @examples @@ -40,38 +41,41 @@ gmri_colors <- c( #' ggplot2::ggplot(mtcars, ggplot2::aes(hp, mpg)) + #' ggplot2::geom_point(color = gmri_cols("gmri blue"), size = 4, alpha = .8) #' -gmri_cols <- function(..., as_char = FALSE) { +gmri_cols <- function(...) { cols <- c(...) - if (as_char == FALSE) { - if (is.null(cols)) + if (is.null(cols)){ return (gmri_colors) } - if (as_char == TRUE) { - if (is.null(cols)) - return (as.character(gmri_colors)) - } - # If nothing is entered into the function return them all - gmri_colors[cols] + return_cols <- gmri_colors[cols] + names(return_cols) <- NULL + return_cols } + + #### Palettes #### gmri_palettes <- list( # Main palette `main` = gmri_cols("gmri blue", "green", "gmri green", "yellow", "orange"), + # Cool palette `cool` = gmri_cols("gmri blue", "dark green", "teal"), + # Hot palette `hot` = gmri_cols("gmri green", "yellow", "orange"), + # Mixed palette `mixed` = gmri_cols("orange", "yellow", "gmri green", "dark green", "green", "teal", "gmri blue"), + # Gray `gray` = gmri_cols("light gray", "dark gray"), + # Grey for british people `grey` = gmri_cols("light gray", "dark gray") ) diff --git a/R/oisst_mainstays_data_access.R b/R/oisst_mainstays_data_access.R index 1c0e01a..06fc1ed 100644 --- a/R/oisst_mainstays_data_access.R +++ b/R/oisst_mainstays_data_access.R @@ -406,7 +406,7 @@ get_timeseries_paths <- function( #' # box_location = "default_boxpath|cloudstorage) oisst_access_timeseries <- function( region_family = "gmri", - poly_name = "gulf of maine", + poly_name = "apershing gulf of maine", box_location = "default_boxpath|cloudstorage"){ @@ -454,7 +454,7 @@ oisst_access_timeseries <- function( "gmri focus areas" = paste0(source_path, "regional_timeseries/gmri_sst_focal_areas/"), "gmri focal areas" = paste0(source_path, "regional_timeseries/gmri_sst_focal_areas/"), "gulf of maine" = paste0(source_path, "regional_timeseries/gmri_sst_focal_areas/"), - "gmri" = paste0(source_path, "regional_timeseries/gmri_sst_focal_areas/"), + "gmri" = paste0(source_path, "regional_timeseries/gmri_sst_focal_areas/"), "nelme regions" = paste0(source_path, "regional_timeseries/NELME_regions/"), "gom physio regions" = paste0(source_path, "regional_timeseries/GulfOfMainePhysioRegions/")) diff --git a/man/gmRi-package.Rd b/man/gmRi-package.Rd index 805fd0f..cbc77a9 100644 --- a/man/gmRi-package.Rd +++ b/man/gmRi-package.Rd @@ -6,7 +6,7 @@ \alias{gmRi-package} \title{gmRi: Utility Functions for GMRI Research Team} \description{ -\if{html}{\figure{logo.png}{options: align='right' alt='logo' width='120'}} +\if{html}{\figure{logo.png}{options: style='float: right' alt='logo' width='120'}} Common routines and utilities for performing various research tasks and implementing GMRI branding. Currently this package adds ggplot2 palette tools to access official Gulf of Maine Research Institute colors. Additional functionality is provided to load and display OISSTv2 data, and additionally common data preparation steps for Northeast Groundfish Survey data. } diff --git a/man/gmri_cols.Rd b/man/gmri_cols.Rd index d369d02..c6a756e 100644 --- a/man/gmri_cols.Rd +++ b/man/gmri_cols.Rd @@ -4,12 +4,10 @@ \alias{gmri_cols} \title{Retrieve GMRI Hex Color(s)} \usage{ -gmri_cols(..., as_char = FALSE) +gmri_cols(...) } \arguments{ \item{...}{Character names of official GMRI colors} - -\item{as_char}{Boolean T/F determining how the values should be returned. Character values can be passed directly in places a color hexcode is desired.} } \description{ Return hex codes in return for named GMRI colors. diff --git a/man/oisst_access_timeseries.Rd b/man/oisst_access_timeseries.Rd index 05dbc30..ac25fa3 100644 --- a/man/oisst_access_timeseries.Rd +++ b/man/oisst_access_timeseries.Rd @@ -6,7 +6,7 @@ \usage{ oisst_access_timeseries( region_family = "gmri", - poly_name = "gulf of maine", + poly_name = "apershing gulf of maine", box_location = "default_boxpath|cloudstorage" ) } diff --git a/vignettes/oisst_howto.Rmd b/vignettes/oisst_howto.Rmd index 5fe9d54..e2acd45 100644 --- a/vignettes/oisst_howto.Rmd +++ b/vignettes/oisst_howto.Rmd @@ -16,7 +16,6 @@ library(sf) library(raster) library(stars) library(tidyverse) -library(here) library(patchwork) library(rnaturalearth) library(gmRi) From 52b0d1cf908e264477b576e700f212f4c4e47a32 Mon Sep 17 00:00:00 2001 From: Adam Date: Mon, 20 Feb 2023 17:11:57 -0500 Subject: [PATCH 2/6] Updated the description files for the survdat functions --- R/ggthemes.R | 5 +- R/nefsc_groundfish_access.R | 78 +++++++++++++++++++++++++---- R/oisst_mainstays_data_access.R | 4 +- inst/stylesheets/gmri_rmarkdown.css | 44 ++++++++-------- man/add_area_stratification.Rd | 14 ++++-- man/add_lw_info.Rd | 11 ++++ man/gmri_survdat_prep.Rd | 53 ++++++++++++++++++-- man/make_monthly.Rd | 2 +- 8 files changed, 165 insertions(+), 46 deletions(-) diff --git a/R/ggthemes.R b/R/ggthemes.R index 6f30977..9b2b74b 100644 --- a/R/ggthemes.R +++ b/R/ggthemes.R @@ -7,7 +7,6 @@ -# Building a GMRI theme based on Wall street Journal and NYTimes theme # base settings from {ggthemes} #' @title GMRI ggplot2 theme for blog-style plots #' @@ -65,7 +64,7 @@ theme_gmri <- function(base_size = 10, # Panel/Grid Setup panel.grid = ggplot2::element_line(colour = NULL, linetype = 3, - size = 0.3, + linewidth = 0.3, color = "gray80"), panel.grid.major = ggplot2::element_line(colour = "black"), panel.grid.major.x = ggplot2::element_blank(), @@ -84,7 +83,7 @@ theme_gmri <- function(base_size = 10, strip.background = ggplot2::element_rect( color = "white", fill = facet_hex, - size = 1, + linewidth = 1, linetype="solid")) + # Add any additional theme calls to tweak on the fly ggplot2::theme(...) diff --git a/R/nefsc_groundfish_access.R b/R/nefsc_groundfish_access.R index 7e141c0..d8addd8 100644 --- a/R/nefsc_groundfish_access.R +++ b/R/nefsc_groundfish_access.R @@ -1,5 +1,4 @@ #### NEFSC Trawl Data Access #### - #### #### NEFSC Trawl Data - Size Spectra Build #### 3/24/2021 @@ -19,12 +18,55 @@ ######################################################_ -#' @title Load survdat file with standard data filters, keep all columns +#' @title Tidy the Survdat Dataset +#' @description Processing function to tidy/prepare the "survdat" groundfish survey dataset received +#' from the Northeast Fisheries Science Center. This function performs all common steps done when +#' preparing the data for any analyses that rely on abundance or biomass by species and the details +#' of where/when they were caught. +#' +#' This function will by default load the most up-to-date version of the dataset that has been +#' received from the NEFSC using survdat = NULL. Optionally, users may provide a dataframe +#' from the environment to be prepared using the same steps. +#' +#' The processing steps performed by this function include: +#' +#' - loading a specific survdat dataset: "most recent" loads the most current and complete dataset. +#' "bigelow" returns data sampled only by the RV bigelow, in its raw form, with no adjustments to +#' catch that transform numbers to be more consistent with the RV albatross. "bio" loads the +#' biological dataset, which contains additional details that require follow-up lab procedures like +#' age information +#' +#' - Flag and create any columns that are missing or inconsistent with how the dataset has been +#' sent over time. Messages will appear in the terminal to accompany any columns created or modified +#' +#' - Perform column formatting: length and biomass are renamed to be unit specific length_cm & +#' biomass_kg. Survey stratum numbers are pulled from the longer stratum field, these are used to +#' match up to the fields of the shapefiles for them. comname values are converted to be all +#' lowercase. The id field is formatted to not read as scientific, svspp is treated as a string. +#' +#' - Perform row filtering: eliminate stratum that are no longer sampled or sampled inconsistently +#' (values less than 01010 or greater than 01760 removed, in addition to 1310, 1320, 1330, 1350, +#' 1410, 1420, & 1490). Seasons are limited to Spring and Fall, the two primary sampling seasons, +#' years are limited to 1970-2020. Any rows without abundance or biomass information are dropped. +#' Select species codes are also removed (0, 285-299, 305, 306, 307, 316, 323, 910-915, 955-961, +#' 978, 979, 980, 998) +#' +#' - Perform spatial filters: Data is kept for all strata within these major regional definitions: +#' "Georges Bank" = 13-23, "Gulf of Maine" = 24-40, "Southern New England" 01-12, +#' "Mid-Atlantic Bight" = 61-76. #' +#' - Perform numlen (numbers at length) adjustment: numlen is not adjusted to correct for the +#' change in survey vessels and gear that happened in 2008. These values consequently are not +#' equal to the overall abundance of a species, nor total biomass of a species which are +#' systematically adjusted to adjust for the gear change. #' -#' @description Processing function to prepare survdat data for size spectra analyses. -#' Options to select various survdat pulls, or provide your own as a dataframe -#' from the environment if available. +#' Because of this and also some instances of bad data, there are cases where more/less fishes are +#' measured than initially tallied* in the abundance field. This section ensures that the numlen +#' totals for a station & species are equal to abundance column (which has been adjusted already +#' for the gear change.) +#' +#' - Remove any duplicate records: One final step is the verification that any duplicated records +#' are removed. #' #' #' @param survdat optional starting dataframe in the R environment to run through size spectra build. @@ -426,6 +468,17 @@ gmri_survdat_prep <- function(survdat = NULL, survdat_source = "most recent", bo #' @description calculate expected biomass-at-length for species based on #' published length-weight relationships. #' +#' Species are matched against a spreadsheet containing length and weight information from 2 +#' sources. The first source is the length-weight relationships detailed in Wigley et al. 2003: +#' "Length-weight relationships for 74 fish species collected during NEFSC research vessel bottom +#' trawl surveys, 1992-99". +#' +#' The second source for matching growth details to species is fishbase. These values are known to +#' be potentially less accurate or less regionally specific. +#' +#' Pairings are first checked against the Wigley paper, and then by fishbase, to provide preference +#' to the more regionally focused source. +#' #' @param survdat_clean Survdat data, after usual preparations are completed. #' These include removal of old strata, labeling of areas of interest, and inclusion #' of the annual effort in each. @@ -537,7 +590,6 @@ add_lw_info <- function(survdat_clean, cutoff = FALSE, box_location = "root|clou # 15% difference in either direction were flagged for removal # code: github.com/adamkemberling/nefsc_trawl/R/qa_qc_reports/stratification_validation # list updated : 8/27/2021 - # cutoff_15 <- c( "acadian redfish", "american plaice", "american shad", @@ -756,9 +808,17 @@ add_epu_info <- function(trawldat, box_location = "root|cloudstorage"){ # Add area stratified biomass function #' @title Add Survey Area Stratified Abundances and Biomasses #' -#' @description Take the survdat data paired with length weight relationships and -#' return estimates of area stratified catch rates and their expected abundances and -#' biomasses when applied to the total areas of stratum. +#' @description Take the survdat data which has been cleaned with gmRi::gmri_survdat_prep, that is +#' paired with length weight relationships using gmRi::add_lw_info and estimate the area stratified +#' catch rates and their expected abundances and biomasses when those catch rates are applied to +#' the total areas of their respective strata. +#' +#' Area-stratified catch rates are calculated independently for each species, every year, within +#' each strata. +#' +#' Constants for the area-towed and the catchability coefficient are as followed: +#' - Area covered by an albatross standard tow in km2 = 0.0384 +#' - Catchability coefficient - ideally should change for species guilds: q = 1 #' #' @param survdat_weights Input dataframe, produced by add_lw_info #' @param include_epu Flag for calculating the EPU rates in addition to the stratum regions we use. diff --git a/R/oisst_mainstays_data_access.R b/R/oisst_mainstays_data_access.R index 06fc1ed..e3d4882 100644 --- a/R/oisst_mainstays_data_access.R +++ b/R/oisst_mainstays_data_access.R @@ -8,7 +8,7 @@ #### a netcdf/raster object or a table may be desired #### #### Data is stored on ~/Box/RES_Data/OISST/oisst_mainstays -#### Acccess to this folder required for these paths to work. +#### Access to this folder required for these paths to work. @@ -16,8 +16,6 @@ #### Research Access Paths #### #' @title Establish Research Box Paths -#' -#' #' @description Returns list of box resource paths for quick access to commonly accessed #' resources. Includes the Mills lab, Res data, knowledge graph data, and oisst mainstays. #' diff --git a/inst/stylesheets/gmri_rmarkdown.css b/inst/stylesheets/gmri_rmarkdown.css index c230400..fb1dbd5 100644 --- a/inst/stylesheets/gmri_rmarkdown.css +++ b/inst/stylesheets/gmri_rmarkdown.css @@ -68,49 +68,48 @@ /* Level 1 Headers */ h1 { text-align: left; - margin: 10px 0 15px 0; - font-size: 38px; + margin: 10px 0 15px 0; + margin-top: 40px; + font-size: 38px; font-family: Avenir; -} +} /* Headers 2 - 6 */ -h2, h3, h4, h5, h6 { - color: #333333; - margin: 20px 0 5px 0; +h2, h3, h4, h5, h6 { + color: #333333; + margin: 20px 0 5px 0; text-align: left; font-family: Avenir;} /* Sizing/font For Each Header Type */ -h2 { font-size: 24px; } -h3 { font-size: 20px; } -h4 { font-size: 18px; } -h5 { font-size: 16px; font-weight: normal; color: #3069aa; text-decoration: underline;} -h6 { font-size: 14px; font-weight: normal; color: #3069aa; } +h2, .h2 { font-size: 24px; margin-top: 40px;} +h3, .h3 { font-size: 20px; margin-top: 40px;} +h4, .h4 { font-size: 18px;} +h5 { font-size: 16px; margin-top: 40px;font-weight: normal; color: #3069aa; text-decoration: underline;} +h6 { font-size: 14px; margin-top: 40px;font-weight: normal; color: #3069aa; } /* Paragraph Text */ -p, ol { margin-top: 10px; +p, ol { margin-top: 10px; font-family: 'Raleway', sans-serif;} +/* Figure & Table Captions */ +figure, figcaption, .figure-caption {font-size: 12px; color: #5a6570} +caption {font-size: 12px; color: #5a6570} + /* Title Author and Date Headers */ h1.title.toc-ignore {margin-top: 10px;} h4.author, h4.date { color: rgb(0,115,109); - margin-top: 0px; - margin-bottom: 5px; + margin-top: 0; + margin-bottom: 5px; font-size: 12px;} -/* Add Spacing Above Headers */ -h1, .h1, h2, .h2, h3, .h3 { - margin-top: 40px; -} - - /* Links */ a { color: rgb(234,79,18) @@ -155,13 +154,13 @@ a { /* Second Level Tabs - Active */ -.nav.nav-tabs > li.active > a, .nav-tabs > li.active > a:hover, .nav-tabs > li.active > a:focus { +.nav-tabs > li.active > a, .nav-tabs > li.active > a:hover, .nav-tabs > li.active > a:focus { color: #fff; background-color: rgb(83,83,83) ; } /* Second Level Tabs - Inactive */ -.nav.nav-tabs > li > a, .nav-tabs > li > a:hover, .nav-tabs > li > a:focus { +.nav-tabs > li > a, .nav-tabs > li > a:hover, .nav-tabs > li > a:focus { color: rgb(83,83,83); background-color: #fff; } @@ -169,7 +168,6 @@ a { /********** End Core Style Sheet **********/ -/********** End Core Style Sheet **********/ diff --git a/man/add_area_stratification.Rd b/man/add_area_stratification.Rd index e5abf83..e115ffb 100644 --- a/man/add_area_stratification.Rd +++ b/man/add_area_stratification.Rd @@ -21,9 +21,17 @@ add_area_stratification( survdat df with fields for area stratified values } \description{ -Take the survdat data paired with length weight relationships and -return estimates of area stratified catch rates and their expected abundances and -biomasses when applied to the total areas of stratum. +Take the survdat data which has been cleaned with gmRi::gmri_survdat_prep, that is +paired with length weight relationships using gmRi::add_lw_info and estimate the area stratified +catch rates and their expected abundances and biomasses when those catch rates are applied to +the total areas of their respective strata. + +Area-stratified catch rates are calculated independently for each species, every year, within +each strata. + +Constants for the area-towed and the catchability coefficient are as followed: +- Area covered by an albatross standard tow in km2 = 0.0384 +- Catchability coefficient - ideally should change for species guilds: q = 1 } \examples{ # not run diff --git a/man/add_lw_info.Rd b/man/add_lw_info.Rd index 3a704ed..58ffcc3 100644 --- a/man/add_lw_info.Rd +++ b/man/add_lw_info.Rd @@ -22,6 +22,17 @@ survdat dataframe containing paired length-weight relationship details for speci \description{ calculate expected biomass-at-length for species based on published length-weight relationships. + +Species are matched against a spreadsheet containing length and weight information from 2 +sources. The first source is the length-weight relationships detailed in Wigley et al. 2003: +"Length-weight relationships for 74 fish species collected during NEFSC research vessel bottom +trawl surveys, 1992-99". + +The second source for matching growth details to species is fishbase. These values are known to +be potentially less accurate or less regionally specific. + +Pairings are first checked against the Wigley paper, and then by fishbase, to provide preference +to the more regionally focused source. } \examples{ # not run diff --git a/man/gmri_survdat_prep.Rd b/man/gmri_survdat_prep.Rd index c71558b..0df048d 100644 --- a/man/gmri_survdat_prep.Rd +++ b/man/gmri_survdat_prep.Rd @@ -2,7 +2,7 @@ % Please edit documentation in R/nefsc_groundfish_access.R \name{gmri_survdat_prep} \alias{gmri_survdat_prep} -\title{Load survdat file with standard data filters, keep all columns} +\title{Tidy the Survdat Dataset} \usage{ gmri_survdat_prep( survdat = NULL, @@ -21,9 +21,54 @@ gmri_survdat_prep( Returns a dataframe filtered and tidy-ed for size spectrum analysis. } \description{ -Processing function to prepare survdat data for size spectra analyses. -Options to select various survdat pulls, or provide your own as a dataframe -from the environment if available. +Processing function to tidy/prepare the "survdat" groundfish survey dataset received +from the Northeast Fisheries Science Center. This function performs all common steps done when +preparing the data for any analyses that rely on abundance or biomass by species and the details +of where/when they were caught. + +This function will by default load the most up-to-date version of the dataset that has been +received from the NEFSC using survdat = NULL. Optionally, users may provide a dataframe +from the environment to be prepared using the same steps. + +The processing steps performed by this function include: + + - loading a specific survdat dataset: "most recent" loads the most current and complete dataset. + "bigelow" returns data sampled only by the RV bigelow, in its raw form, with no adjustments to + catch that transform numbers to be more consistent with the RV albatross. "bio" loads the + biological dataset, which contains additional details that require follow-up lab procedures like + age information + + - Flag and create any columns that are missing or inconsistent with how the dataset has been + sent over time. Messages will appear in the terminal to accompany any columns created or modified + + - Perform column formatting: length and biomass are renamed to be unit specific length_cm & + biomass_kg. Survey stratum numbers are pulled from the longer stratum field, these are used to + match up to the fields of the shapefiles for them. comname values are converted to be all + lowercase. The id field is formatted to not read as scientific, svspp is treated as a string. + + - Perform row filtering: eliminate stratum that are no longer sampled or sampled inconsistently + (values less than 01010 or greater than 01760 removed, in addition to 1310, 1320, 1330, 1350, + 1410, 1420, & 1490). Seasons are limited to Spring and Fall, the two primary sampling seasons, + years are limited to 1970-2020. Any rows without abundance or biomass information are dropped. + Select species codes are also removed (0, 285-299, 305, 306, 307, 316, 323, 910-915, 955-961, + 978, 979, 980, 998) + + - Perform spatial filters: Data is kept for all strata within these major regional definitions: + "Georges Bank" = 13-23, "Gulf of Maine" = 24-40, "Southern New England" 01-12, + "Mid-Atlantic Bight" = 61-76. + + - Perform numlen (numbers at length) adjustment: numlen is not adjusted to correct for the + change in survey vessels and gear that happened in 2008. These values consequently are not + equal to the overall abundance of a species, nor total biomass of a species which are + systematically adjusted to adjust for the gear change. + + Because of this and also some instances of bad data, there are cases where more/less fishes are + measured than initially tallied* in the abundance field. This section ensures that the numlen + totals for a station & species are equal to abundance column (which has been adjusted already + for the gear change.) + + - Remove any duplicate records: One final step is the verification that any duplicated records + are removed. } \examples{ # not run diff --git a/man/make_monthly.Rd b/man/make_monthly.Rd index a1948f3..8433dbf 100644 --- a/man/make_monthly.Rd +++ b/man/make_monthly.Rd @@ -2,7 +2,7 @@ % Please edit documentation in R/general_helpers.R \name{make_monthly} \alias{make_monthly} -\title{Convert Daily Stack to Monthly Means} +\title{Convert a Named Daily Raster to Monthly Means Stack} \usage{ make_monthly(daily_ras) } From 524123b82d485ffee77e9ab04429b49387527c8a Mon Sep 17 00:00:00 2001 From: Adam Date: Tue, 21 Feb 2023 09:49:50 -0500 Subject: [PATCH 3/6] remove year and season filters from base cleanup function - people downstream can handle filtering that downstream --- R/nefsc_groundfish_access.R | 14 +------------- man/gmri_survdat_prep.Rd | 3 +-- 2 files changed, 2 insertions(+), 15 deletions(-) diff --git a/R/nefsc_groundfish_access.R b/R/nefsc_groundfish_access.R index d8addd8..89ad66d 100644 --- a/R/nefsc_groundfish_access.R +++ b/R/nefsc_groundfish_access.R @@ -46,8 +46,7 @@ #' #' - Perform row filtering: eliminate stratum that are no longer sampled or sampled inconsistently #' (values less than 01010 or greater than 01760 removed, in addition to 1310, 1320, 1330, 1350, -#' 1410, 1420, & 1490). Seasons are limited to Spring and Fall, the two primary sampling seasons, -#' years are limited to 1970-2020. Any rows without abundance or biomass information are dropped. +#' 1410, 1420, & 1490). Any rows without abundance or biomass information are dropped. #' Select species codes are also removed (0, 285-299, 305, 306, 307, 316, 323, 910-915, 955-961, #' 978, 979, 980, 998) #' @@ -291,17 +290,6 @@ gmri_survdat_prep <- function(survdat = NULL, survdat_source = "most recent", bo stratum != 1490) - # Filter to just Spring and Fall - trawldat <- dplyr::filter(trawldat, season %in% c("Spring", "Fall")) - trawldat <- dplyr::mutate(trawldat, season = factor(season, levels = c("Spring", "Fall"))) - - - # Filter years - trawldat <- dplyr::filter( - .data = trawldat, - est_year >= 1970, - est_year < 2020) - # Drop NA Biomass and Abundance Records trawldat <- dplyr::filter( .data = trawldat, diff --git a/man/gmri_survdat_prep.Rd b/man/gmri_survdat_prep.Rd index 0df048d..457b11d 100644 --- a/man/gmri_survdat_prep.Rd +++ b/man/gmri_survdat_prep.Rd @@ -48,8 +48,7 @@ The processing steps performed by this function include: - Perform row filtering: eliminate stratum that are no longer sampled or sampled inconsistently (values less than 01010 or greater than 01760 removed, in addition to 1310, 1320, 1330, 1350, - 1410, 1420, & 1490). Seasons are limited to Spring and Fall, the two primary sampling seasons, - years are limited to 1970-2020. Any rows without abundance or biomass information are dropped. + 1410, 1420, & 1490). Any rows without abundance or biomass information are dropped. Select species codes are also removed (0, 285-299, 305, 306, 307, 316, 323, 910-915, 955-961, 978, 979, 980, 998) From f5437bce4bebcf5c4dc83489cb33925224c55d18 Mon Sep 17 00:00:00 2001 From: Adam Date: Tue, 21 Feb 2023 09:52:27 -0500 Subject: [PATCH 4/6] clarity on area-stratification to state that it uses seasons --- R/nefsc_groundfish_access.R | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/R/nefsc_groundfish_access.R b/R/nefsc_groundfish_access.R index 89ad66d..8c513e6 100644 --- a/R/nefsc_groundfish_access.R +++ b/R/nefsc_groundfish_access.R @@ -802,7 +802,8 @@ add_epu_info <- function(trawldat, box_location = "root|cloudstorage"){ #' the total areas of their respective strata. #' #' Area-stratified catch rates are calculated independently for each species, every year, within -#' each strata. +#' each strata, and by each season. i.e. 1982 spring cpue of acadian redfish informs the +#' area-stratified catch of acadian redfish in spring of 1982. #' #' Constants for the area-towed and the catchability coefficient are as followed: #' - Area covered by an albatross standard tow in km2 = 0.0384 From cda385e40f81d52a12ebde0c22f40756806862c5 Mon Sep 17 00:00:00 2001 From: Adam Date: Wed, 29 Mar 2023 14:41:07 -0400 Subject: [PATCH 5/6] support for 1991-2020 climatology with window_load --- R/oisst_mainstays_data_access.R | 24 ++++++++++++++++++------ man/add_area_stratification.Rd | 3 ++- man/oisst_window_load.Rd | 3 +++ 3 files changed, 23 insertions(+), 7 deletions(-) diff --git a/R/oisst_mainstays_data_access.R b/R/oisst_mainstays_data_access.R index e3d4882..0e4449a 100644 --- a/R/oisst_mainstays_data_access.R +++ b/R/oisst_mainstays_data_access.R @@ -546,6 +546,7 @@ oisst_access_timeseries <- function( #' the data desired. #' @param anomalies Boolean indication of whether to return observed sst or anomalies. #' Default = TRUE. +#' @param climate_ref String indicating the climatology to use for anomaly option "yyyy-yyyy" format, options are "1982-2011" or "1991-2020" #' @param box_location String indicating value to pass to `boxpath_switch` #' #' @return Raster stack of OISSTv2 data using desired dimensions to crop @@ -558,7 +559,7 @@ oisst_access_timeseries <- function( #'# lat = c(42,44), #'# time = as.Date(c("2016-08-01", "2020-12-31"))) #' -oisst_window_load <- function(data_window, anomalies = FALSE, box_location = "default_boxpath|cloudstorage"){ +oisst_window_load <- function(data_window, anomalies = FALSE, climate_ref = "1982-2011", box_location = "default_boxpath|cloudstorage"){ # Switch for Mojave users or other mac versions with CloudStorage folder path_fun <- boxpath_switch(box_location = box_location) @@ -577,11 +578,22 @@ oisst_window_load <- function(data_window, anomalies = FALSE, box_location = "de # Accessing Anomalies } else if(anomalies == TRUE){ - file_names <- list.files(stringr::str_c(oisst_path, "annual_anomalies/1982to2011_climatology")) - file_paths <- stringr::str_c(oisst_path, "annual_anomalies/1982to2011_climatology/", file_names) - file_paths <- file_paths[stringr::str_detect(file_paths, ".nc")] # No .zarr files - file_years <- stringr::str_sub(file_paths, -7, -4) # Yr Labels + + # Check that an available climatology is used + ref_ops <- c("1982-2011", "1991-2020") + if(climate_ref %in% ref_ops == FALSE){stop("Error: climate_ref must be one of either '1982-2011' or '1991-2020'.")} + + # Choose folder to match climatology + ref_folder <- switch(climate_ref, + "1982-2011" = "annual_anomalies/1982to2011_climatology", + "1991-2020" = "annual_anomalies/1991to2020_climatology") + anom_folder <- stringr::str_c(oisst_path, ref_folder) + file_names <- list.files(anom_folder) + file_paths <- stringr::str_c(anom_folder, "/", file_names) + file_paths <- file_paths[stringr::str_detect(file_paths, ".nc")] # No .zarr files + file_years <- stringr::str_sub(file_paths, -7, -4) # Yr Labels file_paths <- stats::setNames(file_paths, file_years) + #return(file_names) } @@ -610,7 +622,7 @@ oisst_window_load <- function(data_window, anomalies = FALSE, box_location = "de } else { message("Time dimension not of class 'Date', all years returned.") time_min <- as.Date("1981-01-01") - time_max <- as.Date("2020-12-31") + time_max <- as.Date("2023-12-31") } diff --git a/man/add_area_stratification.Rd b/man/add_area_stratification.Rd index e115ffb..0c02e74 100644 --- a/man/add_area_stratification.Rd +++ b/man/add_area_stratification.Rd @@ -27,7 +27,8 @@ catch rates and their expected abundances and biomasses when those catch rates a the total areas of their respective strata. Area-stratified catch rates are calculated independently for each species, every year, within -each strata. +each strata, and by each season. i.e. 1982 spring cpue of acadian redfish informs the +area-stratified catch of acadian redfish in spring of 1982. Constants for the area-towed and the catchability coefficient are as followed: - Area covered by an albatross standard tow in km2 = 0.0384 diff --git a/man/oisst_window_load.Rd b/man/oisst_window_load.Rd index beeb413..a7aea00 100644 --- a/man/oisst_window_load.Rd +++ b/man/oisst_window_load.Rd @@ -7,6 +7,7 @@ oisst_window_load( data_window, anomalies = FALSE, + climate_ref = "1982-2011", box_location = "default_boxpath|cloudstorage" ) } @@ -17,6 +18,8 @@ the data desired.} \item{anomalies}{Boolean indication of whether to return observed sst or anomalies. Default = TRUE.} +\item{climate_ref}{String indicating the climatology to use for anomaly option "yyyy-yyyy" format, options are "1982-2011" or "1991-2020"} + \item{box_location}{String indicating value to pass to `boxpath_switch`} } \value{ From 8d681475320344276012eed90d31971b848cbe06 Mon Sep 17 00:00:00 2001 From: Adam Date: Tue, 21 May 2024 14:18:13 -0400 Subject: [PATCH 6/6] themes, palettes,fents --- .gitignore | 2 + R/ggthemes.R | 38 ++-- R/gmri_palettes.R | 22 +-- inst/stylesheets/Fonts/LTe50340.ttf | Bin 0 -> 61816 bytes inst/stylesheets/Fonts/LTe50342.ttf | Bin 0 -> 67752 bytes inst/stylesheets/Fonts/LTe50347.ttf | Bin 0 -> 48676 bytes .../GMRI_fonts/Avenir/LTe50336.ttf | Bin 0 -> 71864 bytes .../GMRI_fonts/Avenir/LTe50337.ttf | Bin 0 -> 57380 bytes .../GMRI_fonts/Avenir/LTe50338.ttf | Bin 0 -> 66820 bytes .../GMRI_fonts/Avenir/LTe50339.ttf | Bin 0 -> 55176 bytes .../GMRI_fonts/Avenir/LTe50340.ttf | Bin 0 -> 61816 bytes .../GMRI_fonts/Avenir/LTe50341.ttf | Bin 0 -> 50960 bytes .../GMRI_fonts/Avenir/LTe50342.ttf | Bin 0 -> 67752 bytes .../GMRI_fonts/Avenir/LTe50343.ttf | Bin 0 -> 54124 bytes .../GMRI_fonts/Avenir/LTe50344.ttf | Bin 0 -> 84112 bytes .../GMRI_fonts/Avenir/LTe50345.ttf | Bin 0 -> 50668 bytes .../GMRI_fonts/Avenir/LTe50346.ttf | Bin 0 -> 56436 bytes .../GMRI_fonts/Avenir/LTe50347.ttf | Bin 0 -> 48676 bytes .../ITC Berkeley Old Style/lte50597.ttf | Bin 0 -> 115228 bytes .../ITC Berkeley Old Style/lte50598.ttf | Bin 0 -> 77308 bytes .../ITC Berkeley Old Style/lte50599.ttf | Bin 0 -> 110764 bytes .../ITC Berkeley Old Style/lte50600.ttf | Bin 0 -> 75828 bytes .../ITC Berkeley Old Style/lte50601.ttf | Bin 0 -> 108120 bytes .../ITC Berkeley Old Style/lte50602.ttf | Bin 0 -> 75676 bytes .../ITC Berkeley Old Style/lte50603.ttf | Bin 0 -> 108864 bytes .../ITC Berkeley Old Style/lte50604.ttf | Bin 0 -> 74280 bytes inst/stylesheets/gmri_logo.png | Bin 8579 -> 21728 bytes inst/stylesheets/gmri_rmarkdown.css | 53 +----- inst/stylesheets/gmri_rmarkdown_fonts.css | 174 ++++++++++++++++++ 29 files changed, 212 insertions(+), 77 deletions(-) create mode 100644 inst/stylesheets/Fonts/LTe50340.ttf create mode 100644 inst/stylesheets/Fonts/LTe50342.ttf create mode 100644 inst/stylesheets/Fonts/LTe50347.ttf create mode 100755 inst/stylesheets/GMRI_fonts/Avenir/LTe50336.ttf create mode 100755 inst/stylesheets/GMRI_fonts/Avenir/LTe50337.ttf create mode 100755 inst/stylesheets/GMRI_fonts/Avenir/LTe50338.ttf create mode 100755 inst/stylesheets/GMRI_fonts/Avenir/LTe50339.ttf create mode 100755 inst/stylesheets/GMRI_fonts/Avenir/LTe50340.ttf create mode 100755 inst/stylesheets/GMRI_fonts/Avenir/LTe50341.ttf create mode 100755 inst/stylesheets/GMRI_fonts/Avenir/LTe50342.ttf create mode 100755 inst/stylesheets/GMRI_fonts/Avenir/LTe50343.ttf create mode 100755 inst/stylesheets/GMRI_fonts/Avenir/LTe50344.ttf create mode 100755 inst/stylesheets/GMRI_fonts/Avenir/LTe50345.ttf create mode 100755 inst/stylesheets/GMRI_fonts/Avenir/LTe50346.ttf create mode 100755 inst/stylesheets/GMRI_fonts/Avenir/LTe50347.ttf create mode 100755 inst/stylesheets/GMRI_fonts/ITC Berkeley Old Style/lte50597.ttf create mode 100755 inst/stylesheets/GMRI_fonts/ITC Berkeley Old Style/lte50598.ttf create mode 100755 inst/stylesheets/GMRI_fonts/ITC Berkeley Old Style/lte50599.ttf create mode 100755 inst/stylesheets/GMRI_fonts/ITC Berkeley Old Style/lte50600.ttf create mode 100755 inst/stylesheets/GMRI_fonts/ITC Berkeley Old Style/lte50601.ttf create mode 100755 inst/stylesheets/GMRI_fonts/ITC Berkeley Old Style/lte50602.ttf create mode 100755 inst/stylesheets/GMRI_fonts/ITC Berkeley Old Style/lte50603.ttf create mode 100755 inst/stylesheets/GMRI_fonts/ITC Berkeley Old Style/lte50604.ttf create mode 100644 inst/stylesheets/gmri_rmarkdown_fonts.css diff --git a/.gitignore b/.gitignore index a0fc36c..0b031de 100644 --- a/.gitignore +++ b/.gitignore @@ -11,3 +11,5 @@ doc/www # Testing Space testing/ +inst/stylesheets/Avenir.ttc +inst/stylesheets/Font/ diff --git a/R/ggthemes.R b/R/ggthemes.R index 9b2b74b..f8cfb75 100644 --- a/R/ggthemes.R +++ b/R/ggthemes.R @@ -21,12 +21,20 @@ #' #' @examples ggplot2::ggplot(mtcars) + theme_gmri() theme_gmri <- function(base_size = 10, - base_family = "sans", + base_family = "sans", title_family = "sans", - facet_color = "teal", + facet_color = "teal", ...) { - # Color from gmRi palette, sets background color - facet_hex <- gmri_cols()[facet_color] + + # Color from gmRi palette, sets background color for facet strips + if(facet_color %in% c( + "orange", "yellow", "gmri green", "light green", "dark green", + "green", "teal", "blue", "gmri blue", "light gray", "dark gray")){ + facet_hex <- gmri_cols()[facet_color] + } else { + facet_hex <- facet_color + } + # Set up theme gmri_ggtheme <- ggthemes::theme_foundation( @@ -36,9 +44,10 @@ theme_gmri <- function(base_size = 10, # Major Elements line = ggplot2::element_line(linetype = 1, colour = "black"), - rect = ggplot2::element_rect(fill = "transparent", - linetype = 0, - colour = NA), + rect = ggplot2::element_rect( + fill = "transparent", + linetype = 0, + colour = NA), text = ggplot2::element_text(colour = "black"), title = ggplot2::element_text(family = title_family, size = 12), @@ -55,17 +64,15 @@ theme_gmri <- function(base_size = 10, # Legend Elements legend.background = ggplot2::element_rect(), - legend.position = "bottom", - legend.direction = "horizontal", - legend.box = "vertical", legend.title = ggplot2::element_text(size = 9), legend.text = ggplot2::element_text(size = 9), # Panel/Grid Setup - panel.grid = ggplot2::element_line(colour = NULL, - linetype = 3, - linewidth = 0.3, - color = "gray80"), + panel.grid = ggplot2::element_line( + colour = NULL, + linetype = 3, + linewidth = 0.3, + color = "gray80"), panel.grid.major = ggplot2::element_line(colour = "black"), panel.grid.major.x = ggplot2::element_blank(), panel.grid.minor = ggplot2::element_blank(), @@ -81,10 +88,11 @@ theme_gmri <- function(base_size = 10, # Facet Details strip.text = ggplot2::element_text(color = "white", face = "bold", size = 11), strip.background = ggplot2::element_rect( - color = "white", + color = "transparent", fill = facet_hex, linewidth = 1, linetype="solid")) + + # Add any additional theme calls to tweak on the fly ggplot2::theme(...) diff --git a/R/gmri_palettes.R b/R/gmri_palettes.R index a138df4..8d03a83 100644 --- a/R/gmri_palettes.R +++ b/R/gmri_palettes.R @@ -3,17 +3,17 @@ #### Colors #### gmri_colors <- c( - `orange` = "#EA4F12", - `yellow` = "#EACA00", - `gmri green`= "#ABB400", - `green`= "#ABB400", - `dark green`= "#3B4620", - `green` = "#407331", - `teal` = "#00736D", - `blue` = "#00608A", - `gmri blue` = "#00608A", - `light gray`= "#E9E9E9", - `dark gray` = "#535353" + `orange` = "#EA4F12", + `yellow` = "#EACA00", + `gmri green` = "#ABB400", + `light green`= "#ABB400", + `dark green` = "#3B4620", + `green` = "#407331", + `teal` = "#00736D", + 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url("http://fast.fonts.net/t/1.css?apiType=css&projectid=806f61f6-d695-4965-a878-820b50bc0269"); - @font-face{ - font-family:"Avenir LT W01_35 Light1475496"; - src:url("Fonts/0078f486-8e52-42c0-ad81-3c8d3d43f48e.woff2") format("woff2"),url("Fonts/908c4810-64db-4b46-bb8e-823eb41f68c0.woff") format("woff"); - } - @font-face{ - font-family:"Avenir LT W01_35 Light_1475502"; - src:url("Fonts/a59168c1-917d-4de9-a244-0316c057c357.woff2") format("woff2"),url("Fonts/6dc0e7d8-9284-44e1-8f05-984a41daa3a4.woff") format("woff"); - } - @font-face{ - font-family:"Avenir LT W01_45 Book1475508"; - src:url("Fonts/065a6b14-b2cc-446e-9428-271c570df0d9.woff2") format("woff2"),url("Fonts/65d75eb0-2601-4da5-a9a4-9ee67a470a59.woff") format("woff"); - } - @font-face{ - font-family:"Avenir LT W01_45 Book O1475514"; - src:url("Fonts/476612d9-282d-4f76-95cd-b4dd31e7ed21.woff2") format("woff2"),url("Fonts/f1ebae2b-5296-4244-8771-5f40e60a564a.woff") format("woff"); - } - @font-face{ - font-family:"Avenir LT W01_55 Roman1475520"; - src:url("Fonts/b290e775-e0f9-4980-914b-a4c32a5e3e36.woff2") format("woff2"),url("Fonts/4b978f72-bb48-46c3-909a-2a8cd2f8819c.woff") format("woff"); - } - @font-face{ - font-family:"Avenir LT W01_55 Obliqu1475526"; - src:url("Fonts/1a7173fa-062b-49ad-9915-bc57d3bfc1f5.woff2") format("woff2"),url("Fonts/cdda031e-26e9-4269-83d1-5a218caa10db.woff") format("woff"); - } - @font-face{ - font-family:"Avenir LT W01_65 Medium1475532"; - src:url("Fonts/17b90ef5-b63f-457b-a981-503bb7afe3c0.woff2") format("woff2"),url("Fonts/c9aeeabd-dd65-491d-b4be-3e0db9ae47a0.woff") format("woff"); - } - @font-face{ - font-family:"Avenir LT W01_65 Medium1475538"; - src:url("Fonts/deb5e718-7abb-4df3-9365-edfa95317090.woff2") format("woff2"),url("Fonts/04801919-17ee-4c6b-8b17-eb1965cb3ed6.woff") format("woff"); - } - @font-face{ - font-family:"Avenir LT W01_85 Heavy1475544"; - src:url("Fonts/d513e15e-8f35-4129-ad05-481815e52625.woff2") format("woff2"),url("Fonts/61bd362e-7162-46bd-b67e-28f366c4afbe.woff") format("woff"); - } - @font-face{ - font-family:"Avenir LT W01_85 Heavy_1475550"; - src:url("Fonts/3c210c80-960f-4684-850b-25390b4d08af.woff2") format("woff2"),url("Fonts/cb5c71ad-e582-4d00-929c-67fbfaeb1c27.woff") format("woff"); - } - @font-face{ - font-family:"Avenir LT W01_95 Black1475556"; - src:url("Fonts/c78eb7af-a1c8-4892-974b-52379646fef4.woff2") format("woff2"),url("Fonts/75b36c58-2a02-4057-a537-09af0832ae46.woff") format("woff"); - } - @font-face{ - font-family:"Avenir LT W01_95 Black_1475562"; - src:url("Fonts/a2477e08-09d9-4d4b-97a9-23a1e22cb44c.woff2") format("woff2"),url("Fonts/19d12bba-92b1-43ad-9bab-cd36a4195c2a.woff") format("woff"); - } @@ -71,7 +22,7 @@ h1 { text-align: left; margin: 10px 0 15px 0; margin-top: 40px; font-size: 38px; - font-family: Avenir; + font-family: Lato; } @@ -80,7 +31,7 @@ h2, h3, h4, h5, h6 { color: #333333; margin: 20px 0 5px 0; text-align: left; - font-family: Avenir;} + font-family: Lato;} /* Sizing/font For Each Header Type */ diff --git a/inst/stylesheets/gmri_rmarkdown_fonts.css b/inst/stylesheets/gmri_rmarkdown_fonts.css new file mode 100644 index 0000000..fb1dbd5 --- /dev/null +++ b/inst/stylesheets/gmri_rmarkdown_fonts.css @@ -0,0 +1,174 @@ +/********** GMRI Rmarkdown Core Style Sheet - Do Not Modify!!! **********/ + + +/********** Begin Style Sheet **********/ + +/* Avenir Font from Fonts.com for GMRI Branding */ + +@import url("http://fast.fonts.net/t/1.css?apiType=css&projectid=806f61f6-d695-4965-a878-820b50bc0269"); + @font-face{ + font-family:"Avenir LT W01_35 Light1475496"; + src:url("Fonts/0078f486-8e52-42c0-ad81-3c8d3d43f48e.woff2") format("woff2"),url("Fonts/908c4810-64db-4b46-bb8e-823eb41f68c0.woff") format("woff"); + } + @font-face{ + font-family:"Avenir LT W01_35 Light_1475502"; + src:url("Fonts/a59168c1-917d-4de9-a244-0316c057c357.woff2") format("woff2"),url("Fonts/6dc0e7d8-9284-44e1-8f05-984a41daa3a4.woff") format("woff"); + } + @font-face{ + font-family:"Avenir LT W01_45 Book1475508"; + src:url("Fonts/065a6b14-b2cc-446e-9428-271c570df0d9.woff2") format("woff2"),url("Fonts/65d75eb0-2601-4da5-a9a4-9ee67a470a59.woff") format("woff"); + } + @font-face{ + font-family:"Avenir LT W01_45 Book O1475514"; + src:url("Fonts/476612d9-282d-4f76-95cd-b4dd31e7ed21.woff2") format("woff2"),url("Fonts/f1ebae2b-5296-4244-8771-5f40e60a564a.woff") format("woff"); + } + @font-face{ + font-family:"Avenir LT W01_55 Roman1475520"; + src:url("Fonts/b290e775-e0f9-4980-914b-a4c32a5e3e36.woff2") format("woff2"),url("Fonts/4b978f72-bb48-46c3-909a-2a8cd2f8819c.woff") format("woff"); + } + @font-face{ + font-family:"Avenir LT W01_55 Obliqu1475526"; + src:url("Fonts/1a7173fa-062b-49ad-9915-bc57d3bfc1f5.woff2") format("woff2"),url("Fonts/cdda031e-26e9-4269-83d1-5a218caa10db.woff") format("woff"); + } + @font-face{ + font-family:"Avenir LT W01_65 Medium1475532"; + src:url("Fonts/17b90ef5-b63f-457b-a981-503bb7afe3c0.woff2") format("woff2"),url("Fonts/c9aeeabd-dd65-491d-b4be-3e0db9ae47a0.woff") format("woff"); + } + @font-face{ + font-family:"Avenir LT W01_65 Medium1475538"; + src:url("Fonts/deb5e718-7abb-4df3-9365-edfa95317090.woff2") format("woff2"),url("Fonts/04801919-17ee-4c6b-8b17-eb1965cb3ed6.woff") format("woff"); + } + @font-face{ + font-family:"Avenir LT W01_85 Heavy1475544"; + src:url("Fonts/d513e15e-8f35-4129-ad05-481815e52625.woff2") format("woff2"),url("Fonts/61bd362e-7162-46bd-b67e-28f366c4afbe.woff") format("woff"); + } + @font-face{ + font-family:"Avenir LT W01_85 Heavy_1475550"; + src:url("Fonts/3c210c80-960f-4684-850b-25390b4d08af.woff2") format("woff2"),url("Fonts/cb5c71ad-e582-4d00-929c-67fbfaeb1c27.woff") format("woff"); + } + @font-face{ + font-family:"Avenir LT W01_95 Black1475556"; + src:url("Fonts/c78eb7af-a1c8-4892-974b-52379646fef4.woff2") format("woff2"),url("Fonts/75b36c58-2a02-4057-a537-09af0832ae46.woff") format("woff"); + } + @font-face{ + font-family:"Avenir LT W01_95 Black_1475562"; + src:url("Fonts/a2477e08-09d9-4d4b-97a9-23a1e22cb44c.woff2") format("woff2"),url("Fonts/19d12bba-92b1-43ad-9bab-cd36a4195c2a.woff") format("woff"); + } + + + + + +/* PRE-Avenir Fonts: Lato + Raleway font import from google fonts */ +@import url('https://fonts.googleapis.com/css?family=Lato'); +@import url('https://fonts.googleapis.com/css?family=Raleway&display=swap'); + +/* add font families as needed: font-family: 'Lato', sans-serif; */ + + +/* Level 1 Headers */ +h1 { text-align: left; + margin: 10px 0 15px 0; + margin-top: 40px; + font-size: 38px; + font-family: Avenir; +} + + +/* Headers 2 - 6 */ +h2, h3, h4, h5, h6 { + color: #333333; + margin: 20px 0 5px 0; + text-align: left; + font-family: Avenir;} + + +/* Sizing/font For Each Header Type */ +h2, .h2 { font-size: 24px; margin-top: 40px;} +h3, .h3 { font-size: 20px; margin-top: 40px;} +h4, .h4 { font-size: 18px;} +h5 { font-size: 16px; margin-top: 40px;font-weight: normal; color: #3069aa; text-decoration: underline;} +h6 { font-size: 14px; margin-top: 40px;font-weight: normal; color: #3069aa; } + + +/* Paragraph Text */ +p, ol { margin-top: 10px; + font-family: 'Raleway', sans-serif;} + +/* Figure & Table Captions */ +figure, figcaption, .figure-caption {font-size: 12px; color: #5a6570} +caption {font-size: 12px; color: #5a6570} + + +/* Title Author and Date Headers */ +h1.title.toc-ignore {margin-top: 10px;} +h4.author, h4.date { + color: rgb(0,115,109); + margin-top: 0; + margin-bottom: 5px; + font-size: 12px;} + + + +/* Links */ +a { + color: rgb(234,79,18) +} + + +/***********************************************/ + + +/******** Table of Contents **********/ + +/* Highlighted TOC Element */ +.list-group-item.active, .list-group-item.active:focus, .list-group-item.active:hover { + z-index: 2; + color: #fff; + background-color: rgb(0,96,138); + border-color: rgb(0,96,138); +} + +/* Default TOC Elements */ +.list-group-item, .list-group-item:focus, .list-group-item:hover { + z-index: 2; + color: rgb(0,96,138); + background-color: #fff; + border-color: rgb(0,96,138); +} + + +/******** Tab Panels **********/ + +/* Navigation Tabs - Highlighted Tabset Pills */ +.nav-pills > li.active > a, .nav-pills > li.active > a:hover, .nav-pills > li.active > a:focus { + color: #fff; + background-color: rgb(0,115,109) ; + } + +/* Navigation Tabs - Default Tabset Pills */ +.nav-pills > li > a, .nav-pills > li > a:hover, .nav-pills > li > a:focus { + color: rgb(0,115,109); + background-color: #fff; + } + + +/* Second Level Tabs - Active */ +.nav-tabs > li.active > a, .nav-tabs > li.active > a:hover, .nav-tabs > li.active > a:focus { + color: #fff; + background-color: rgb(83,83,83) ; + } + +/* Second Level Tabs - Inactive */ +.nav-tabs > li > a, .nav-tabs > li > a:hover, .nav-tabs > li > a:focus { + color: rgb(83,83,83); + background-color: #fff; + } + + + +/********** End Core Style Sheet **********/ + + + +