library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dorfen <- sunrise.set(48.27929258132695,12.164135397961445, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Dorfen$sunrise
sunset <- Dorfen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dorfen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dorfen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dorfen["timestamp"] <- align.time(Dorfen$sunrise, 60*10)
Dorfen <- Dorfen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dorfen, aes(x=Dorfen$timestamp)) + geom_line(aes(y=Dorfen$sr)) + geom_line(aes(y=Dorfen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dorfen 2021", x = "Datum", y = "Zeit")
pdf("Dorfen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dorfen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dorfen["Sonnenaufgang"] <- strftime(Dorfen$sr, format="%H:%M")
Dorfen["Sonnenuntergang"] <- strftime(Dorfen$ss, format="%H:%M")
write.table(Dorfen, file="Dorfen_SaSu.csv", dec=',', sep=';', row.names=FALSE)