library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Empuriabrava <- sunrise.set(42.2451941,3.1264116, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Empuriabrava$sunrise
sunset <- Empuriabrava$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Empuriabrava["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Empuriabrava["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Empuriabrava["timestamp"] <- align.time(Empuriabrava$sunrise, 60*10)
Empuriabrava <- Empuriabrava[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Empuriabrava, aes(x=Empuriabrava$timestamp)) + geom_line(aes(y=Empuriabrava$sr)) + geom_line(aes(y=Empuriabrava$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Empuriabrava 2024", x = "Datum", y = "Zeit")
pdf("Empuriabrava_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Empuriabrava_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Empuriabrava["Sonnenaufgang"] <- strftime(Empuriabrava$sr, format="%H:%M")
Empuriabrava["Sonnenuntergang"] <- strftime(Empuriabrava$ss, format="%H:%M")
write.table(Empuriabrava, file="Empuriabrava_SaSu.csv", dec=',', sep=';', row.names=FALSE)