## ----message = FALSE, echo = FALSE--------------------------------------------
library(dplyr)

## -----------------------------------------------------------------------------
library(stormwindmodel)
data("floyd_tracks")
head(floyd_tracks)
data("katrina_tracks")
head(katrina_tracks)

## -----------------------------------------------------------------------------
data(county_points)
head(county_points)

## ----eval = FALSE, echo = c(1)------------------------------------------------
#  floyd_winds <- get_grid_winds(hurr_track = floyd_tracks, grid_df = county_points)
#  save(floyd_winds, file = "data/floyd_winds.Rdata")

## ----echo = c(2:4)------------------------------------------------------------
load("data/floyd_winds.Rdata")
floyd_winds %>%
  dplyr::select(gridid, vmax_gust, vmax_sust, gust_dur, sust_dur) %>%
  slice(1:6)

## ----fig.width = 8------------------------------------------------------------
map_wind(floyd_winds)

## ----message = FALSE, warning = FALSE, results = "hide"-----------------------
library(tigris)
new_orleans <- tracts(state = "LA", county = c("Orleans")) 

## ----message = FALSE----------------------------------------------------------
library(rgeos)
new_orleans_tract_centers <- gCentroid(new_orleans, byid = TRUE)@coords
head(new_orleans_tract_centers)

## -----------------------------------------------------------------------------
new_orleans_tract_centers <- new_orleans_tract_centers %>%
  tbl_df() %>%
  mutate(gridid = unique(new_orleans@data$TRACTCE)) %>%
  dplyr::rename(glat = y, 
                glon = x)
head(new_orleans_tract_centers)

## ----message = FALSE, warning = FALSE, fig.width = 7--------------------------
library(sf)
new_orleans <- new_orleans %>% 
  st_as_sf()
new_orleans_centers <- new_orleans_tract_centers %>% 
  st_as_sf(coords = c("glon", "glat")) %>% 
  st_set_crs(4269)

library(ggplot2)
ggplot() + 
  geom_sf(data = new_orleans) + 
  geom_sf(data = new_orleans_centers, color = "red", size = 0.6)

## ----eval = FALSE, echo = c(1:2)----------------------------------------------
#  new_orleans_tracts_katrina <- get_grid_winds(hurr_track = katrina_tracks,
#                                               grid_df = new_orleans_tract_centers)
#  save(new_orleans_tracts_katrina, file = "data/new_orleans.Rdata")

## ----echo = c(2)--------------------------------------------------------------
load("data/new_orleans.Rdata")
head(new_orleans_tracts_katrina)

## -----------------------------------------------------------------------------
new_orleans <- new_orleans %>% 
  left_join(new_orleans_tracts_katrina, by = c("TRACTCE" = "gridid"))

## ---- fig.width = 7, message = FALSE, warning = FALSE-------------------------
library(viridis)
ggplot() + 
  geom_sf(data = new_orleans, aes(fill = vmax_sust)) + 
  geom_sf(data = new_orleans_centers, color = "red", size = 0.6) + 
  scale_fill_viridis(name = "Maximum\nsustained\nwinds (m/s)")

## ----warning = FALSE, message = FALSE, fig.width = 6, fig.height = 2.5--------
dare_county <- county_points %>% # Get grid point information for Dare County
  filter(gridid == "37055")

with_wind_radii <- floyd_tracks %>%
  create_full_track() %>% # Interpolate tracks to every 15 minutes
  add_wind_radii()        # Calculate required inputs for Willoughby wind model

dare_winds <- calc_grid_wind(grid_point = dare_county,          # Model winds at one grid point
                             with_wind_radii = with_wind_radii)

ggplot(dare_winds, aes(x = date, y = windspeed)) + 
  geom_line() + 
  xlab("Observation time (UTC)") + 
  ylab("Modeled surface wind (m / s)") 

## ----fig.width = 8------------------------------------------------------------
floyd_map <- map_wind(floyd_winds)
add_storm_track(floyd_tracks, plot_object = floyd_map)

## ----fig.width = 8------------------------------------------------------------
map_wind(floyd_winds, value = "vmax_gust", wind_metric = "knots")

## ----fig.width = 8------------------------------------------------------------
map_wind(floyd_winds, value = "vmax_sust", wind_metric = "knots", break_point = 34)

