library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Beringen_SH <- sunrise.set(47.705337,8.5754838, "2019/01/01", timezone="MET", num.days=370) sunrise <- Beringen_SH$sunrise sunset <- Beringen_SH$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Beringen_SH["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Beringen_SH["ss"] <- as.POSIXct(sunset, format = "%H:%M") Beringen_SH["timestamp"] <- align.time(Beringen_SH$sunrise, 60*10) Beringen_SH <- Beringen_SH[c("timestamp", "sr", "ss")] locsrss <- ggplot(Beringen_SH, aes(x=Beringen_SH$timestamp)) + geom_line(aes(y=Beringen_SH$sr)) + geom_line(aes(y=Beringen_SH$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Beringen_SH 2019", x = "Datum", y = "Zeit") pdf("Beringen_SH_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Beringen_SH_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Beringen_SH["Sonnenaufgang"] <- strftime(Beringen_SH$sr, format="%H:%M") Beringen_SH["Sonnenuntergang"] <- strftime(Beringen_SH$ss, format="%H:%M") write.table(Beringen_SH, file="Beringen_SH_SaSu.csv", dec=',', sep=';', row.names=FALSE)