library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Ellerau <- sunrise.set(53.7552857,9.9254165, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Ellerau$sunrise
sunset <- Ellerau$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Ellerau["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Ellerau["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Ellerau["timestamp"] <- align.time(Ellerau$sunrise, 60*10)
Ellerau <- Ellerau[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Ellerau, aes(x=Ellerau$timestamp)) + geom_line(aes(y=Ellerau$sr)) + geom_line(aes(y=Ellerau$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Ellerau 2024", x = "Datum", y = "Zeit")
pdf("Ellerau_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Ellerau_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Ellerau["Sonnenaufgang"] <- strftime(Ellerau$sr, format="%H:%M")
Ellerau["Sonnenuntergang"] <- strftime(Ellerau$ss, format="%H:%M")
write.table(Ellerau, file="Ellerau_SaSu.csv", dec=',', sep=';', row.names=FALSE)