library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Düsseldorf_ <- sunrise.set(51.28607778379228,6.729555130004883, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Düsseldorf_$sunrise
sunset <- Düsseldorf_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Düsseldorf_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Düsseldorf_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Düsseldorf_["timestamp"] <- align.time(Düsseldorf_$sunrise, 60*10)
Düsseldorf_ <- Düsseldorf_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Düsseldorf_, aes(x=Düsseldorf_$timestamp)) + geom_line(aes(y=Düsseldorf_$sr)) + geom_line(aes(y=Düsseldorf_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Düsseldorf_ 2021", x = "Datum", y = "Zeit")
pdf("Düsseldorf__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Düsseldorf__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Düsseldorf_["Sonnenaufgang"] <- strftime(Düsseldorf_$sr, format="%H:%M")
Düsseldorf_["Sonnenuntergang"] <- strftime(Düsseldorf_$ss, format="%H:%M")
write.table(Düsseldorf_, file="Düsseldorf__SaSu.csv", dec=',', sep=';', row.names=FALSE)