library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Elsdorf <- sunrise.set(50.9392493,6.5635008, "2019/01/01", timezone="MET", num.days=370)
sunrise <- Elsdorf$sunrise
sunset <- Elsdorf$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Elsdorf["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Elsdorf["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Elsdorf["timestamp"] <- align.time(Elsdorf$sunrise, 60*10)
Elsdorf <- Elsdorf[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Elsdorf, aes(x=Elsdorf$timestamp)) + geom_line(aes(y=Elsdorf$sr)) + geom_line(aes(y=Elsdorf$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Elsdorf 2019", x = "Datum", y = "Zeit")
pdf("Elsdorf_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Elsdorf_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Elsdorf["Sonnenaufgang"] <- strftime(Elsdorf$sr, format="%H:%M")
Elsdorf["Sonnenuntergang"] <- strftime(Elsdorf$ss, format="%H:%M")
write.table(Elsdorf, file="Elsdorf_SaSu.csv", dec=',', sep=';', row.names=FALSE)