library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Aix <- sunrise.set(43.529742,5.447427, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Aix$sunrise
sunset <- Aix$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Aix["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Aix["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Aix["timestamp"] <- align.time(Aix$sunrise, 60*10)
Aix <- Aix[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Aix, aes(x=Aix$timestamp)) + geom_line(aes(y=Aix$sr)) + geom_line(aes(y=Aix$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Aix 2024", x = "Datum", y = "Zeit")
pdf("Aix_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Aix_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Aix["Sonnenaufgang"] <- strftime(Aix$sr, format="%H:%M")
Aix["Sonnenuntergang"] <- strftime(Aix$ss, format="%H:%M")
write.table(Aix, file="Aix_SaSu.csv", dec=',', sep=';', row.names=FALSE)