library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Brüssel <- sunrise.set(50.8503396,4.3517103, "2025/01/01", timezone="MET", num.days=370)
sunrise <- Brüssel$sunrise
sunset <- Brüssel$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Brüssel["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Brüssel["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Brüssel["timestamp"] <- align.time(Brüssel$sunrise, 60*10)
Brüssel <- Brüssel[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Brüssel, aes(x=Brüssel$timestamp)) + geom_line(aes(y=Brüssel$sr)) + geom_line(aes(y=Brüssel$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Brüssel 2025", x = "Datum", y = "Zeit")
pdf("Brüssel_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Brüssel_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Brüssel["Sonnenaufgang"] <- strftime(Brüssel$sr, format="%H:%M")
Brüssel["Sonnenuntergang"] <- strftime(Brüssel$ss, format="%H:%M")
write.table(Brüssel, file="Brüssel_SaSu.csv", dec=',', sep=';', row.names=FALSE)