library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bayreuth <- sunrise.set(49.93945515061677,11.579203605651855, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bayreuth$sunrise
sunset <- Bayreuth$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bayreuth["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bayreuth["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bayreuth["timestamp"] <- align.time(Bayreuth$sunrise, 60*10)
Bayreuth <- Bayreuth[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bayreuth, aes(x=Bayreuth$timestamp)) + geom_line(aes(y=Bayreuth$sr)) + geom_line(aes(y=Bayreuth$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bayreuth 2024", x = "Datum", y = "Zeit")
pdf("Bayreuth_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bayreuth_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bayreuth["Sonnenaufgang"] <- strftime(Bayreuth$sr, format="%H:%M")
Bayreuth["Sonnenuntergang"] <- strftime(Bayreuth$ss, format="%H:%M")
write.table(Bayreuth, file="Bayreuth_SaSu.csv", dec=',', sep=';', row.names=FALSE)