library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Balearen <- sunrise.set(39.5341789,2.857710499999939, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Balearen$sunrise
sunset <- Balearen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Balearen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Balearen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Balearen["timestamp"] <- align.time(Balearen$sunrise, 60*10)
Balearen <- Balearen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Balearen, aes(x=Balearen$timestamp)) + geom_line(aes(y=Balearen$sr)) + geom_line(aes(y=Balearen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Balearen 2023", x = "Datum", y = "Zeit")
pdf("Balearen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Balearen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Balearen["Sonnenaufgang"] <- strftime(Balearen$sr, format="%H:%M")
Balearen["Sonnenuntergang"] <- strftime(Balearen$ss, format="%H:%M")
write.table(Balearen, file="Balearen_SaSu.csv", dec=',', sep=';', row.names=FALSE)