library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Düren <- sunrise.set(50.85721817946077,6.455583572387695, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Düren$sunrise
sunset <- Düren$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Düren["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Düren["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Düren["timestamp"] <- align.time(Düren$sunrise, 60*10)
Düren <- Düren[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Düren, aes(x=Düren$timestamp)) + geom_line(aes(y=Düren$sr)) + geom_line(aes(y=Düren$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Düren 2021", x = "Datum", y = "Zeit")
pdf("Düren_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Düren_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Düren["Sonnenaufgang"] <- strftime(Düren$sr, format="%H:%M")
Düren["Sonnenuntergang"] <- strftime(Düren$ss, format="%H:%M")
write.table(Düren, file="Düren_SaSu.csv", dec=',', sep=';', row.names=FALSE)