library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Eltville <- sunrise.set(50.0289744,8.119173, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Eltville$sunrise
sunset <- Eltville$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Eltville["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Eltville["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Eltville["timestamp"] <- align.time(Eltville$sunrise, 60*10)
Eltville <- Eltville[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Eltville, aes(x=Eltville$timestamp)) + geom_line(aes(y=Eltville$sr)) + geom_line(aes(y=Eltville$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Eltville 2021", x = "Datum", y = "Zeit")
pdf("Eltville_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Eltville_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Eltville["Sonnenaufgang"] <- strftime(Eltville$sr, format="%H:%M")
Eltville["Sonnenuntergang"] <- strftime(Eltville$ss, format="%H:%M")
write.table(Eltville, file="Eltville_SaSu.csv", dec=',', sep=';', row.names=FALSE)