library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Cadiz <- sunrise.set(36.5296879,-6.2926569, "2025/01/01", timezone="MET", num.days=370)
sunrise <- Cadiz$sunrise
sunset <- Cadiz$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Cadiz["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Cadiz["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Cadiz["timestamp"] <- align.time(Cadiz$sunrise, 60*10)
Cadiz <- Cadiz[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Cadiz, aes(x=Cadiz$timestamp)) + geom_line(aes(y=Cadiz$sr)) + geom_line(aes(y=Cadiz$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Cadiz 2025", x = "Datum", y = "Zeit")
pdf("Cadiz_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Cadiz_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Cadiz["Sonnenaufgang"] <- strftime(Cadiz$sr, format="%H:%M")
Cadiz["Sonnenuntergang"] <- strftime(Cadiz$ss, format="%H:%M")
write.table(Cadiz, file="Cadiz_SaSu.csv", dec=',', sep=';', row.names=FALSE)