library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Donaustauf <- sunrise.set(49.0324537,12.207385400000021, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Donaustauf$sunrise
sunset <- Donaustauf$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Donaustauf["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Donaustauf["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Donaustauf["timestamp"] <- align.time(Donaustauf$sunrise, 60*10)
Donaustauf <- Donaustauf[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Donaustauf, aes(x=Donaustauf$timestamp)) + geom_line(aes(y=Donaustauf$sr)) + geom_line(aes(y=Donaustauf$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Donaustauf 2024", x = "Datum", y = "Zeit")
pdf("Donaustauf_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Donaustauf_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Donaustauf["Sonnenaufgang"] <- strftime(Donaustauf$sr, format="%H:%M")
Donaustauf["Sonnenuntergang"] <- strftime(Donaustauf$ss, format="%H:%M")
write.table(Donaustauf, file="Donaustauf_SaSu.csv", dec=',', sep=';', row.names=FALSE)