library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Cateret <- sunrise.set(49.33,-1.75, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Cateret$sunrise
sunset <- Cateret$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Cateret["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Cateret["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Cateret["timestamp"] <- align.time(Cateret$sunrise, 60*10)
Cateret <- Cateret[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Cateret, aes(x=Cateret$timestamp)) + geom_line(aes(y=Cateret$sr)) + geom_line(aes(y=Cateret$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Cateret 2024", x = "Datum", y = "Zeit")
pdf("Cateret_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Cateret_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Cateret["Sonnenaufgang"] <- strftime(Cateret$sr, format="%H:%M")
Cateret["Sonnenuntergang"] <- strftime(Cateret$ss, format="%H:%M")
write.table(Cateret, file="Cateret_SaSu.csv", dec=',', sep=';', row.names=FALSE)