library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Andersengasse_29 <- sunrise.set(48.1619019,16.327154800000016, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Andersengasse_29$sunrise
sunset <- Andersengasse_29$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Andersengasse_29["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Andersengasse_29["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Andersengasse_29["timestamp"] <- align.time(Andersengasse_29$sunrise, 60*10)
Andersengasse_29 <- Andersengasse_29[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Andersengasse_29, aes(x=Andersengasse_29$timestamp)) + geom_line(aes(y=Andersengasse_29$sr)) + geom_line(aes(y=Andersengasse_29$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Andersengasse_29 2021", x = "Datum", y = "Zeit")
pdf("Andersengasse_29_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Andersengasse_29_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Andersengasse_29["Sonnenaufgang"] <- strftime(Andersengasse_29$sr, format="%H:%M")
Andersengasse_29["Sonnenuntergang"] <- strftime(Andersengasse_29$ss, format="%H:%M")
write.table(Andersengasse_29, file="Andersengasse_29_SaSu.csv", dec=',', sep=';', row.names=FALSE)