library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
AU_am_Rhein <- sunrise.set(48.9516824,8.2366553, "2024/01/01", timezone="MET", num.days=370)
sunrise <- AU_am_Rhein$sunrise
sunset <- AU_am_Rhein$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
AU_am_Rhein["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
AU_am_Rhein["ss"] <- as.POSIXct(sunset, format = "%H:%M")
AU_am_Rhein["timestamp"] <- align.time(AU_am_Rhein$sunrise, 60*10)
AU_am_Rhein <- AU_am_Rhein[c("timestamp", "sr", "ss")]
locsrss <- ggplot(AU_am_Rhein, aes(x=AU_am_Rhein$timestamp)) + geom_line(aes(y=AU_am_Rhein$sr)) + geom_line(aes(y=AU_am_Rhein$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - AU_am_Rhein 2024", x = "Datum", y = "Zeit")
pdf("AU_am_Rhein_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="AU_am_Rhein_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
AU_am_Rhein["Sonnenaufgang"] <- strftime(AU_am_Rhein$sr, format="%H:%M")
AU_am_Rhein["Sonnenuntergang"] <- strftime(AU_am_Rhein$ss, format="%H:%M")
write.table(AU_am_Rhein, file="AU_am_Rhein_SaSu.csv", dec=',', sep=';', row.names=FALSE)