library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
3971_St._Martin <- sunrise.set(48.6624183,14.8379147, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 3971_St._Martin$sunrise
sunset <- 3971_St._Martin$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
3971_St._Martin["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
3971_St._Martin["ss"] <- as.POSIXct(sunset, format = "%H:%M")
3971_St._Martin["timestamp"] <- align.time(3971_St._Martin$sunrise, 60*10)
3971_St._Martin <- 3971_St._Martin[c("timestamp", "sr", "ss")]
locsrss <- ggplot(3971_St._Martin, aes(x=3971_St._Martin$timestamp)) + geom_line(aes(y=3971_St._Martin$sr)) + geom_line(aes(y=3971_St._Martin$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 3971_St._Martin 2024", x = "Datum", y = "Zeit")
pdf("3971_St._Martin_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="3971_St._Martin_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
3971_St._Martin["Sonnenaufgang"] <- strftime(3971_St._Martin$sr, format="%H:%M")
3971_St._Martin["Sonnenuntergang"] <- strftime(3971_St._Martin$ss, format="%H:%M")
write.table(3971_St._Martin, file="3971_St._Martin_SaSu.csv", dec=',', sep=';', row.names=FALSE)