library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Arnsberg <- sunrise.set(51.4073375,8.052771, "2022/01/01", timezone="MET", num.days=370) sunrise <- Arnsberg$sunrise sunset <- Arnsberg$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Arnsberg["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Arnsberg["ss"] <- as.POSIXct(sunset, format = "%H:%M") Arnsberg["timestamp"] <- align.time(Arnsberg$sunrise, 60*10) Arnsberg <- Arnsberg[c("timestamp", "sr", "ss")] locsrss <- ggplot(Arnsberg, aes(x=Arnsberg$timestamp)) + geom_line(aes(y=Arnsberg$sr)) + geom_line(aes(y=Arnsberg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Arnsberg 2022", x = "Datum", y = "Zeit") pdf("Arnsberg_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Arnsberg_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Arnsberg["Sonnenaufgang"] <- strftime(Arnsberg$sr, format="%H:%M") Arnsberg["Sonnenuntergang"] <- strftime(Arnsberg$ss, format="%H:%M") write.table(Arnsberg, file="Arnsberg_SaSu.csv", dec=',', sep=';', row.names=FALSE)