library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Buxtehude <- sunrise.set(53.44879425016446,9.75586128566897, "2021/01/01", timezone="MET", num.days=370) sunrise <- Buxtehude$sunrise sunset <- Buxtehude$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Buxtehude["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Buxtehude["ss"] <- as.POSIXct(sunset, format = "%H:%M") Buxtehude["timestamp"] <- align.time(Buxtehude$sunrise, 60*10) Buxtehude <- Buxtehude[c("timestamp", "sr", "ss")] locsrss <- ggplot(Buxtehude, aes(x=Buxtehude$timestamp)) + geom_line(aes(y=Buxtehude$sr)) + geom_line(aes(y=Buxtehude$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Buxtehude 2021", x = "Datum", y = "Zeit") pdf("Buxtehude_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Buxtehude_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Buxtehude["Sonnenaufgang"] <- strftime(Buxtehude$sr, format="%H:%M") Buxtehude["Sonnenuntergang"] <- strftime(Buxtehude$ss, format="%H:%M") write.table(Buxtehude, file="Buxtehude_SaSu.csv", dec=',', sep=';', row.names=FALSE)