library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Ajaccio <- sunrise.set(41.919229,8.738635, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Ajaccio$sunrise
sunset <- Ajaccio$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Ajaccio["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Ajaccio["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Ajaccio["timestamp"] <- align.time(Ajaccio$sunrise, 60*10)
Ajaccio <- Ajaccio[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Ajaccio, aes(x=Ajaccio$timestamp)) + geom_line(aes(y=Ajaccio$sr)) + geom_line(aes(y=Ajaccio$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Ajaccio 2024", x = "Datum", y = "Zeit")
pdf("Ajaccio_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Ajaccio_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Ajaccio["Sonnenaufgang"] <- strftime(Ajaccio$sr, format="%H:%M")
Ajaccio["Sonnenuntergang"] <- strftime(Ajaccio$ss, format="%H:%M")
write.table(Ajaccio, file="Ajaccio_SaSu.csv", dec=',', sep=';', row.names=FALSE)