library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Barsbüttel_ <- sunrise.set(53.5715488,10.175945700000057, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Barsbüttel_$sunrise
sunset <- Barsbüttel_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Barsbüttel_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Barsbüttel_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Barsbüttel_["timestamp"] <- align.time(Barsbüttel_$sunrise, 60*10)
Barsbüttel_ <- Barsbüttel_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Barsbüttel_, aes(x=Barsbüttel_$timestamp)) + geom_line(aes(y=Barsbüttel_$sr)) + geom_line(aes(y=Barsbüttel_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Barsbüttel_ 2021", x = "Datum", y = "Zeit")
pdf("Barsbüttel__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Barsbüttel__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Barsbüttel_["Sonnenaufgang"] <- strftime(Barsbüttel_$sr, format="%H:%M")
Barsbüttel_["Sonnenuntergang"] <- strftime(Barsbüttel_$ss, format="%H:%M")
write.table(Barsbüttel_, file="Barsbüttel__SaSu.csv", dec=',', sep=';', row.names=FALSE)