library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Binz <- sunrise.set(54.4022152,13.606025000000045, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Binz$sunrise
sunset <- Binz$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Binz["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Binz["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Binz["timestamp"] <- align.time(Binz$sunrise, 60*10)
Binz <- Binz[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Binz, aes(x=Binz$timestamp)) + geom_line(aes(y=Binz$sr)) + geom_line(aes(y=Binz$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Binz 2024", x = "Datum", y = "Zeit")
pdf("Binz_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Binz_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Binz["Sonnenaufgang"] <- strftime(Binz$sr, format="%H:%M")
Binz["Sonnenuntergang"] <- strftime(Binz$ss, format="%H:%M")
write.table(Binz, file="Binz_SaSu.csv", dec=',', sep=';', row.names=FALSE)