library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Durmersheim <- sunrise.set(48.9345829,8.2733132, "2022/01/01", timezone="MET", num.days=370) sunrise <- Durmersheim$sunrise sunset <- Durmersheim$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Durmersheim["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Durmersheim["ss"] <- as.POSIXct(sunset, format = "%H:%M") Durmersheim["timestamp"] <- align.time(Durmersheim$sunrise, 60*10) Durmersheim <- Durmersheim[c("timestamp", "sr", "ss")] locsrss <- ggplot(Durmersheim, aes(x=Durmersheim$timestamp)) + geom_line(aes(y=Durmersheim$sr)) + geom_line(aes(y=Durmersheim$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Durmersheim 2022", x = "Datum", y = "Zeit") pdf("Durmersheim_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Durmersheim_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Durmersheim["Sonnenaufgang"] <- strftime(Durmersheim$sr, format="%H:%M") Durmersheim["Sonnenuntergang"] <- strftime(Durmersheim$ss, format="%H:%M") write.table(Durmersheim, file="Durmersheim_SaSu.csv", dec=',', sep=';', row.names=FALSE)