library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bletterbach <- sunrise.set(46.357828,11.434193, "2025/01/01", timezone="MET", num.days=370)
sunrise <- Bletterbach$sunrise
sunset <- Bletterbach$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bletterbach["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bletterbach["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bletterbach["timestamp"] <- align.time(Bletterbach$sunrise, 60*10)
Bletterbach <- Bletterbach[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bletterbach, aes(x=Bletterbach$timestamp)) + geom_line(aes(y=Bletterbach$sr)) + geom_line(aes(y=Bletterbach$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bletterbach 2025", x = "Datum", y = "Zeit")
pdf("Bletterbach_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bletterbach_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bletterbach["Sonnenaufgang"] <- strftime(Bletterbach$sr, format="%H:%M")
Bletterbach["Sonnenuntergang"] <- strftime(Bletterbach$ss, format="%H:%M")
write.table(Bletterbach, file="Bletterbach_SaSu.csv", dec=',', sep=';', row.names=FALSE)