library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Burtenbach <- sunrise.set(48.3413529,10.450999499999966, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Burtenbach$sunrise
sunset <- Burtenbach$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Burtenbach["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Burtenbach["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Burtenbach["timestamp"] <- align.time(Burtenbach$sunrise, 60*10)
Burtenbach <- Burtenbach[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Burtenbach, aes(x=Burtenbach$timestamp)) + geom_line(aes(y=Burtenbach$sr)) + geom_line(aes(y=Burtenbach$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Burtenbach 2021", x = "Datum", y = "Zeit")
pdf("Burtenbach_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Burtenbach_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Burtenbach["Sonnenaufgang"] <- strftime(Burtenbach$sr, format="%H:%M")
Burtenbach["Sonnenuntergang"] <- strftime(Burtenbach$ss, format="%H:%M")
write.table(Burtenbach, file="Burtenbach_SaSu.csv", dec=',', sep=';', row.names=FALSE)