library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Brest_(FR) <- sunrise.set(48.390604,-4.486901, "2022/01/01", timezone="MET", num.days=370)
sunrise <- Brest_(FR)$sunrise
sunset <- Brest_(FR)$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Brest_(FR)["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Brest_(FR)["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Brest_(FR)["timestamp"] <- align.time(Brest_(FR)$sunrise, 60*10)
Brest_(FR) <- Brest_(FR)[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Brest_(FR), aes(x=Brest_(FR)$timestamp)) + geom_line(aes(y=Brest_(FR)$sr)) + geom_line(aes(y=Brest_(FR)$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Brest_(FR) 2022", x = "Datum", y = "Zeit")
pdf("Brest_(FR)_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Brest_(FR)_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Brest_(FR)["Sonnenaufgang"] <- strftime(Brest_(FR)$sr, format="%H:%M")
Brest_(FR)["Sonnenuntergang"] <- strftime(Brest_(FR)$ss, format="%H:%M")
write.table(Brest_(FR), file="Brest_(FR)_SaSu.csv", dec=',', sep=';', row.names=FALSE)