plot_weather: Plot weather curves for a given winter

In bniebuhr/winteranalyzer: WInTer conditions and CHaracterization for reindeer husbandry

Description

This function plots weather variables and indices calculated with the function analyze_weather. It returns a ggplot plot, which means you can use it together with other ggplot2 functions (see examples).

Usage

plot_weather(
  weather_analyzed,
  term = c("snow_depth", "precip", "temp_min", "temp_max", "temp_avg",
    "cumulative_precitation", "prec_snow_ratio", "prec_snow_diff", "snow_prec_ratio",
    "snow_prec_diff")[c(1, 2)],
  factor_mult = rep(1, length(term)),
  add_events = c("", "events3", "events4", "eventsX")[1],
  first_half = TRUE,
  cols = c(),
  units = c(),
  title = ""
)

Arguments

weather_analyzed	data.frame. output 'data.frame' from the analyze_weather function. This data.frame may contain time series of snow_depth, precipitation, accumulated precipitation, temperature (min, max, avg), and ratio and difference of snow_depth and cumulative precipitation (and vice-versa).
term	character. term to be plotted.
factor_mult	numeric, vector. numeric factor to be multipled by each variable (defined in the argument 'term'), so that all variables are plotted in the same scale
cols	character or number. vector. sequence of colors for plotting each term, in the same order as term.
units	character. vector. vector of units of each of the terms.

Value

a ggplot with the terms plotted.

Examples

library(ggplot2)
library(dplyr)
data(weather_mittadalen)

weather_2019 <- weather_mittadalen %>%
  dplyr::filter(year == 2019)

weather_condition_2019 <-
  with(weather_2019, analyze_weather(date, snow_depth, prec, temp_min, temp_max,
                                     temp_avg, start = "first_permanent_snow",
                                     plot_first_snow = T))

plot_weather(weather_condition_2019, term = c("snow_depth", "precip"))
plot_weather(weather_condition_2019, term = c("snow_de", "cum"))
plot_weather(weather_condition_2019, term = c("snow_de", "cum"), add_events = "events3")
plot_weather(weather_condition_2019, term = c("snow_de", "cum", "snow_prec_ratio"))
plot_weather(weather_condition_2019, term = c("snow_de", "cum", "snow_prec_ratio"),
             factor_mult = c(1,1,100))
plot_weather(weather_condition_2019, term = c("snow_de", "cum", "snow_prec_ratio"),
             factor_mult = c(.01,.01,1), add_events = "events3")

# configure details in your plot using further ggplot2 functions
plot_weather(weather_condition_2019, term = c("snow_de", "cum"), add_events = "events3") +
  theme_bw() +
  theme(legend.position = "bottom") +
  labs(y = "Weather variable value")

bniebuhr/winteranalyzer documentation built on Dec. 31, 2020, 8:56 p.m.