library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Darmstadr <- sunrise.set(49.76776011087078,8.686215877532959, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Darmstadr$sunrise
sunset <- Darmstadr$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Darmstadr["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Darmstadr["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Darmstadr["timestamp"] <- align.time(Darmstadr$sunrise, 60*10)
Darmstadr <- Darmstadr[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Darmstadr, aes(x=Darmstadr$timestamp)) + geom_line(aes(y=Darmstadr$sr)) + geom_line(aes(y=Darmstadr$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Darmstadr 2021", x = "Datum", y = "Zeit")
pdf("Darmstadr_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Darmstadr_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Darmstadr["Sonnenaufgang"] <- strftime(Darmstadr$sr, format="%H:%M")
Darmstadr["Sonnenuntergang"] <- strftime(Darmstadr$ss, format="%H:%M")
write.table(Darmstadr, file="Darmstadr_SaSu.csv", dec=',', sep=';', row.names=FALSE)