library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
AT_4631 <- sunrise.set(48.20770040779637,13.974929530810527, "2021/01/01", timezone="MET", num.days=370)
sunrise <- AT_4631$sunrise
sunset <- AT_4631$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
AT_4631["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
AT_4631["ss"] <- as.POSIXct(sunset, format = "%H:%M")
AT_4631["timestamp"] <- align.time(AT_4631$sunrise, 60*10)
AT_4631 <- AT_4631[c("timestamp", "sr", "ss")]
locsrss <- ggplot(AT_4631, aes(x=AT_4631$timestamp)) + geom_line(aes(y=AT_4631$sr)) + geom_line(aes(y=AT_4631$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - AT_4631 2021", x = "Datum", y = "Zeit")
pdf("AT_4631_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="AT_4631_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
AT_4631["Sonnenaufgang"] <- strftime(AT_4631$sr, format="%H:%M")
AT_4631["Sonnenuntergang"] <- strftime(AT_4631$ss, format="%H:%M")
write.table(AT_4631, file="AT_4631_SaSu.csv", dec=',', sep=';', row.names=FALSE)