library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Antalya <- sunrise.set(36.8968908,30.7133233, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Antalya$sunrise
sunset <- Antalya$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Antalya["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Antalya["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Antalya["timestamp"] <- align.time(Antalya$sunrise, 60*10)
Antalya <- Antalya[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Antalya, aes(x=Antalya$timestamp)) + geom_line(aes(y=Antalya$sr)) + geom_line(aes(y=Antalya$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Antalya 2024", x = "Datum", y = "Zeit")
pdf("Antalya_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Antalya_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Antalya["Sonnenaufgang"] <- strftime(Antalya$sr, format="%H:%M")
Antalya["Sonnenuntergang"] <- strftime(Antalya$ss, format="%H:%M")
write.table(Antalya, file="Antalya_SaSu.csv", dec=',', sep=';', row.names=FALSE)