library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Eilenburg <- sunrise.set(51.4597557,12.617702000000008, "2020/01/01", timezone="MET", num.days=370)
sunrise <- Eilenburg$sunrise
sunset <- Eilenburg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Eilenburg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Eilenburg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Eilenburg["timestamp"] <- align.time(Eilenburg$sunrise, 60*10)
Eilenburg <- Eilenburg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Eilenburg, aes(x=Eilenburg$timestamp)) + geom_line(aes(y=Eilenburg$sr)) + geom_line(aes(y=Eilenburg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Eilenburg 2020", x = "Datum", y = "Zeit")
pdf("Eilenburg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Eilenburg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Eilenburg["Sonnenaufgang"] <- strftime(Eilenburg$sr, format="%H:%M")
Eilenburg["Sonnenuntergang"] <- strftime(Eilenburg$ss, format="%H:%M")
write.table(Eilenburg, file="Eilenburg_SaSu.csv", dec=',', sep=';', row.names=FALSE)