library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Costa_Teguise <- sunrise.set(28.9977187,-13.4915631, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Costa_Teguise$sunrise
sunset <- Costa_Teguise$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Costa_Teguise["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Costa_Teguise["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Costa_Teguise["timestamp"] <- align.time(Costa_Teguise$sunrise, 60*10)
Costa_Teguise <- Costa_Teguise[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Costa_Teguise, aes(x=Costa_Teguise$timestamp)) + geom_line(aes(y=Costa_Teguise$sr)) + geom_line(aes(y=Costa_Teguise$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Costa_Teguise 2024", x = "Datum", y = "Zeit")
pdf("Costa_Teguise_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Costa_Teguise_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Costa_Teguise["Sonnenaufgang"] <- strftime(Costa_Teguise$sr, format="%H:%M")
Costa_Teguise["Sonnenuntergang"] <- strftime(Costa_Teguise$ss, format="%H:%M")
write.table(Costa_Teguise, file="Costa_Teguise_SaSu.csv", dec=',', sep=';', row.names=FALSE)