library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Dessau_Roßlau <- sunrise.set(51.8428278,12.2303935, "2019/01/01", timezone="MET", num.days=370) sunrise <- Dessau_Roßlau$sunrise sunset <- Dessau_Roßlau$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Dessau_Roßlau["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Dessau_Roßlau["ss"] <- as.POSIXct(sunset, format = "%H:%M") Dessau_Roßlau["timestamp"] <- align.time(Dessau_Roßlau$sunrise, 60*10) Dessau_Roßlau <- Dessau_Roßlau[c("timestamp", "sr", "ss")] locsrss <- ggplot(Dessau_Roßlau, aes(x=Dessau_Roßlau$timestamp)) + geom_line(aes(y=Dessau_Roßlau$sr)) + geom_line(aes(y=Dessau_Roßlau$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dessau_Roßlau 2019", x = "Datum", y = "Zeit") pdf("Dessau_Roßlau_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Dessau_Roßlau_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Dessau_Roßlau["Sonnenaufgang"] <- strftime(Dessau_Roßlau$sr, format="%H:%M") Dessau_Roßlau["Sonnenuntergang"] <- strftime(Dessau_Roßlau$ss, format="%H:%M") write.table(Dessau_Roßlau, file="Dessau_Roßlau_SaSu.csv", dec=',', sep=';', row.names=FALSE)