library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
BE_St._Vith <- sunrise.set(50.2788486,6.1273655, "2024/01/01", timezone="MET", num.days=370)
sunrise <- BE_St._Vith$sunrise
sunset <- BE_St._Vith$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
BE_St._Vith["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
BE_St._Vith["ss"] <- as.POSIXct(sunset, format = "%H:%M")
BE_St._Vith["timestamp"] <- align.time(BE_St._Vith$sunrise, 60*10)
BE_St._Vith <- BE_St._Vith[c("timestamp", "sr", "ss")]
locsrss <- ggplot(BE_St._Vith, aes(x=BE_St._Vith$timestamp)) + geom_line(aes(y=BE_St._Vith$sr)) + geom_line(aes(y=BE_St._Vith$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - BE_St._Vith 2024", x = "Datum", y = "Zeit")
pdf("BE_St._Vith_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="BE_St._Vith_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
BE_St._Vith["Sonnenaufgang"] <- strftime(BE_St._Vith$sr, format="%H:%M")
BE_St._Vith["Sonnenuntergang"] <- strftime(BE_St._Vith$ss, format="%H:%M")
write.table(BE_St._Vith, file="BE_St._Vith_SaSu.csv", dec=',', sep=';', row.names=FALSE)