hurricane_normalization_app/app/global.R

library(flexdashboard)
library(shiny)
library(leaflet)
library(DT)
library(dplyr)
library(DBI)
library(tidyr)
library(ggplot2)
library(plotly)
library(viridis)
library(lubridate)
library(scales)
library(readr)
library(stringr)
library(kableExtra)
library(bslib)
library(dygraphs)
library(tidyverse)
library(sf)
library(shinyBS)
library(xts)
library(tigris)
library(caret)
library(scales)
library(billboarder)
library(shinyWidgets)
library(paletteer)
library(shinyjs)
library(quarto)
library(bsicons)

APP_DIR <- getwd()

cache_dir <- file.path(APP_DIR, "cache")
cache_logfile <- file.path(APP_DIR, "cachelog")

source(file = "queries.R")

useShinyjs()

# pull static data
loss_storms <- get_all_loss_storms()

latest_normalized_losses <- get_latest_aggregate_losses()

all_conus_landfalls <- get_all_conus_landfalls()

all_lf_type_storms <- get_all_lf_type_landfalls()

storm_coverage <- get_storm_data_coverage() %>%
  mutate(
    data = trimws(paste(
      "<span class=\"badge bg-primary\">HURDAT2</span>",
      ifelse(
        as.logical(has_fatality_data),
        "<span class=\"badge bg-danger\">Fatality</span>",
        ""
      ),
      ifelse(
        as.logical(has_cost_data),
        "<span class=\"badge bg-success\">Cost</span>",
        ""
      )
    ))
  ) %>%
  mutate(total_direct_deaths = as.integer(total_direct_deaths)) %>%
  select(
    hurdatid,
    storm_name,
    storm_year,
    data,
    mmh,
    mmp,
    total_direct_deaths,
    total_observations,
    max_category,
    max_windspeed,
    min_pressure,
    has_fatality_data,
    has_cost_data
  )

dt_yr_range <- range(storm_coverage$storm_year, na.rm = TRUE)
dt_death_max <- max(storm_coverage$total_direct_deaths, na.rm = TRUE)
dt_mmh_max <- max(storm_coverage$mmh, na.rm = TRUE)
dt_mmp_max <- max(storm_coverage$mmp, na.rm = TRUE)

onStop(function() {
  poolClose(con)
})

storm_selection <- reactiveValues(
  storm_year = NULL,
  storm_name = NULL,
  storm_basin = NULL,
  hurdatid = NULL
)