library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Donauturm <- sunrise.set(48.24034469999999,16.40987389999998, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Donauturm$sunrise
sunset <- Donauturm$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Donauturm["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Donauturm["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Donauturm["timestamp"] <- align.time(Donauturm$sunrise, 60*10)
Donauturm <- Donauturm[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Donauturm, aes(x=Donauturm$timestamp)) + geom_line(aes(y=Donauturm$sr)) + geom_line(aes(y=Donauturm$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Donauturm 2024", x = "Datum", y = "Zeit")
pdf("Donauturm_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Donauturm_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Donauturm["Sonnenaufgang"] <- strftime(Donauturm$sr, format="%H:%M")
Donauturm["Sonnenuntergang"] <- strftime(Donauturm$ss, format="%H:%M")
write.table(Donauturm, file="Donauturm_SaSu.csv", dec=',', sep=';', row.names=FALSE)