library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Belek <- sunrise.set(36.8619896,31.0578756, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Belek$sunrise
sunset <- Belek$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Belek["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Belek["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Belek["timestamp"] <- align.time(Belek$sunrise, 60*10)
Belek <- Belek[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Belek, aes(x=Belek$timestamp)) + geom_line(aes(y=Belek$sr)) + geom_line(aes(y=Belek$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Belek 2024", x = "Datum", y = "Zeit")
pdf("Belek_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Belek_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Belek["Sonnenaufgang"] <- strftime(Belek$sr, format="%H:%M")
Belek["Sonnenuntergang"] <- strftime(Belek$ss, format="%H:%M")
write.table(Belek, file="Belek_SaSu.csv", dec=',', sep=';', row.names=FALSE)