Nothing
## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
warning = FALSE,
message = FALSE,
echo = TRUE,
fig.align = 'center',
fig.width = 6
)
options(tibble.print_min = 5, tibble.print_max = 5)
## ----setup, echo=FALSE--------------------------------------------------------
library(hatchR)
## -----------------------------------------------------------------------------
#select bull trout emergence model
bt_emerge_mod <- model_select(author = "Austin et al. 2019",
species = "bull trout",
model = "MM",
development_type = "emerge"
)
## -----------------------------------------------------------------------------
#predict spawn timing using "2015-03-21" emergence date
bt_spawn <- predict_spawn(data = crooked_river,
dates = date,
temperature = temp_c,
develop.date = "2015-03-21",
model = bt_emerge_mod
)
## -----------------------------------------------------------------------------
str(bt_spawn)
## -----------------------------------------------------------------------------
# development time
bt_spawn$days_to_develop
# spawning date
bt_spawn$dev_period$start
## -----------------------------------------------------------------------------
plot_phenology(bt_spawn)
## -----------------------------------------------------------------------------
bt_emerge <- predict_phenology(data = crooked_river,
dates = date,
temperature = temp_c,
spawn.date = "2014-09-15",
model = bt_emerge_mod
)
## -----------------------------------------------------------------------------
# are they the same (yes!)
bt_emerge$dev_period == bt_spawn$dev_period
#print out values
bt_emerge$dev_period; bt_spawn$dev_period
## -----------------------------------------------------------------------------
library(purrr)
#vector of dates
emerge_days <- c("2015-02-15","2015-03-15", "2015-04-15")
# object for predicting spawn timing across three emergence days
bt_multiple_emerge <- map(emerge_days, # vector of emergence dates
predict_spawn, # predict_spawn function
# everything below are arguments to predict_spawn()
data = crooked_river,
dates = date,
temperature = temp_c,
model = bt_emerge_mod)
# we can access just the dev_periods using map_df
# the start column provides the predicted spawn dates
bt_multiple_emerge |>
map_df("dev_period")
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.