library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bullenkuhlen <- sunrise.set(53.77544765577938,9.749247921704068, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bullenkuhlen$sunrise
sunset <- Bullenkuhlen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bullenkuhlen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bullenkuhlen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bullenkuhlen["timestamp"] <- align.time(Bullenkuhlen$sunrise, 60*10)
Bullenkuhlen <- Bullenkuhlen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bullenkuhlen, aes(x=Bullenkuhlen$timestamp)) + geom_line(aes(y=Bullenkuhlen$sr)) + geom_line(aes(y=Bullenkuhlen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bullenkuhlen 2024", x = "Datum", y = "Zeit")
pdf("Bullenkuhlen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bullenkuhlen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bullenkuhlen["Sonnenaufgang"] <- strftime(Bullenkuhlen$sr, format="%H:%M")
Bullenkuhlen["Sonnenuntergang"] <- strftime(Bullenkuhlen$ss, format="%H:%M")
write.table(Bullenkuhlen, file="Bullenkuhlen_SaSu.csv", dec=',', sep=';', row.names=FALSE)