#' timeseries UI Function
#'
#' @description A shiny Module.
#'
#' @param id,input,output,session Internal parameters for {shiny}.
#'
#' @noRd
#'
#' @importFrom shiny NS tagList
mod_timeseries_ui <- function(id){
ns <- NS(id)
tagList(
div(
plotly::plotlyOutput(outputId = ns("timeseries"), width = "100%"),
htmlOutput(ns("blurb"))
)
)
}
#' timeseries Server Functions
#'
#' @noRd
mod_timeseries_server <- function(id, clicked_population){
moduleServer( id, function(input, output, session){
ns <- session$ns
output$timeseries <- renderPlotly({
make_timeseries(clicked_population())}
)
output$blurb <- renderUI({
# get time series and taxonomic info to observations
obs <- ratlas::get_timeseries()
obs <- obs %>%
dplyr::left_join(ratlas::get_gen(endpoint="taxa",
id = unique(obs$id_taxa)),
by = c("id_taxa" = "id")) %>%
dplyr::left_join(ratlas::get_datasets(id = unique(obs$id_datasets)),
by = c("id_datasets" = "id"))
obs$id <- as.character(obs$id)
obs <- obs[which(obs$id == clicked_population()),]
# write some context
tags$div(id = "blurbid",
class = "blurbtext",
tags$h5("Source des données:", obs$owner[1], "(License: ", obs$license[1], ")"),
tags$h6("Unités d'abondance (de la source originale):", obs$unit[1]),
tags$p("Chaque point est une mesure de l'abondance de la population à un point dans le temps. L'Indice Planète Vivante se base sur le taux de changement entre ces points pour estimer une tendance moyenne des changements d'abondance de plusieurs populations.")
)})
})
}
## To be copied in the UI
# mod_timeseries_ui("rawdata_ui_1")
## To be copied in the server
# mod_timeseries_server("timeseries_ui_1")
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