library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Airport_Funchal <- sunrise.set(32.69385472968519,-16.77835464477539, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Airport_Funchal$sunrise
sunset <- Airport_Funchal$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Airport_Funchal["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Airport_Funchal["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Airport_Funchal["timestamp"] <- align.time(Airport_Funchal$sunrise, 60*10)
Airport_Funchal <- Airport_Funchal[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Airport_Funchal, aes(x=Airport_Funchal$timestamp)) + geom_line(aes(y=Airport_Funchal$sr)) + geom_line(aes(y=Airport_Funchal$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Airport_Funchal 2024", x = "Datum", y = "Zeit")
pdf("Airport_Funchal_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Airport_Funchal_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Airport_Funchal["Sonnenaufgang"] <- strftime(Airport_Funchal$sr, format="%H:%M")
Airport_Funchal["Sonnenuntergang"] <- strftime(Airport_Funchal$ss, format="%H:%M")
write.table(Airport_Funchal, file="Airport_Funchal_SaSu.csv", dec=',', sep=';', row.names=FALSE)