library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Kreta <- sunrise.set(35.361616090904924,24.46929931640625, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Kreta$sunrise
sunset <- Kreta$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Kreta["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Kreta["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Kreta["timestamp"] <- align.time(Kreta$sunrise, 60*10)
Kreta <- Kreta[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Kreta, aes(x=Kreta$timestamp)) + geom_line(aes(y=Kreta$sr)) + geom_line(aes(y=Kreta$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Kreta 2024", x = "Datum", y = "Zeit")
pdf("Kreta_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Kreta_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Kreta["Sonnenaufgang"] <- strftime(Kreta$sr, format="%H:%M")
Kreta["Sonnenuntergang"] <- strftime(Kreta$ss, format="%H:%M")
write.table(Kreta, file="Kreta_SaSu.csv", dec=',', sep=';', row.names=FALSE)