library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bann <- sunrise.set(49.3920342,7.6108019000000695, "2020/01/01", timezone="MET", num.days=370)
sunrise <- Bann$sunrise
sunset <- Bann$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bann["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bann["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bann["timestamp"] <- align.time(Bann$sunrise, 60*10)
Bann <- Bann[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bann, aes(x=Bann$timestamp)) + geom_line(aes(y=Bann$sr)) + geom_line(aes(y=Bann$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bann 2020", x = "Datum", y = "Zeit")
pdf("Bann_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bann_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bann["Sonnenaufgang"] <- strftime(Bann$sr, format="%H:%M")
Bann["Sonnenuntergang"] <- strftime(Bann$ss, format="%H:%M")
write.table(Bann, file="Bann_SaSu.csv", dec=',', sep=';', row.names=FALSE)