library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bitburg <- sunrise.set(49.9664145,6.5298603, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bitburg$sunrise
sunset <- Bitburg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bitburg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bitburg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bitburg["timestamp"] <- align.time(Bitburg$sunrise, 60*10)
Bitburg <- Bitburg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bitburg, aes(x=Bitburg$timestamp)) + geom_line(aes(y=Bitburg$sr)) + geom_line(aes(y=Bitburg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bitburg 2024", x = "Datum", y = "Zeit")
pdf("Bitburg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bitburg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bitburg["Sonnenaufgang"] <- strftime(Bitburg$sr, format="%H:%M")
Bitburg["Sonnenuntergang"] <- strftime(Bitburg$ss, format="%H:%M")
write.table(Bitburg, file="Bitburg_SaSu.csv", dec=',', sep=';', row.names=FALSE)