Splits observations with datetime stamps into a date and time of day components, then displays them in a scatter plot using grammar of graphics (ggplot2). Plots can also be decorated with coloured ribbons indicating night time. This is helpful for data that are associated with the solar cycle, such as bat activity.
Install latest developmental version from R-Universe:
install.packages("gghourglass", repos = c('https://pepijn-devries.r-universe.dev', 'https://cloud.r-project.org'))## load required namespaces
library(ggplot2)
library(gghourglass)
## get example data
data(bats)
## subset example date to the year 2018
bats_sub <- subset(bats, format(RECDATETIME, "%Y") == "2018")
## retrieve monitoring location
lon <- attr(bats, "monitoring")$longitude[1]
lat <- attr(bats, "monitoring")$latitude[1]
## plot the data
ggplot(bats_sub, aes(x = RECDATETIME, col = SPECDESCSCI)) +
## annotate sunset until sunrise
annotate_daylight(lon, lat) +
## annotate dusk until dawn
annotate_daylight(lon, lat, c("dusk", "dawn")) +
## add hourglass geometry to plot
geom_hourglass() +
## add informative labels
labs(x = "Date", y = "Time of day", col = "Species")