library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
_Saarbrücken_ <- sunrise.set(49.24015720000001,6.996932700000002, "2024/01/01", timezone="MET", num.days=370)
sunrise <- _Saarbrücken_$sunrise
sunset <- _Saarbrücken_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
_Saarbrücken_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
_Saarbrücken_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
_Saarbrücken_["timestamp"] <- align.time(_Saarbrücken_$sunrise, 60*10)
_Saarbrücken_ <- _Saarbrücken_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(_Saarbrücken_, aes(x=_Saarbrücken_$timestamp)) + geom_line(aes(y=_Saarbrücken_$sr)) + geom_line(aes(y=_Saarbrücken_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - _Saarbrücken_ 2024", x = "Datum", y = "Zeit")
pdf("_Saarbrücken__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="_Saarbrücken__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
_Saarbrücken_["Sonnenaufgang"] <- strftime(_Saarbrücken_$sr, format="%H:%M")
_Saarbrücken_["Sonnenuntergang"] <- strftime(_Saarbrücken_$ss, format="%H:%M")
write.table(_Saarbrücken_, file="_Saarbrücken__SaSu.csv", dec=',', sep=';', row.names=FALSE)