library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Ehrenberg_ <- sunrise.set(50.526883,10.012631, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Ehrenberg_$sunrise
sunset <- Ehrenberg_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Ehrenberg_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Ehrenberg_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Ehrenberg_["timestamp"] <- align.time(Ehrenberg_$sunrise, 60*10)
Ehrenberg_ <- Ehrenberg_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Ehrenberg_, aes(x=Ehrenberg_$timestamp)) + geom_line(aes(y=Ehrenberg_$sr)) + geom_line(aes(y=Ehrenberg_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Ehrenberg_ 2024", x = "Datum", y = "Zeit")
pdf("Ehrenberg__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Ehrenberg__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Ehrenberg_["Sonnenaufgang"] <- strftime(Ehrenberg_$sr, format="%H:%M")
Ehrenberg_["Sonnenuntergang"] <- strftime(Ehrenberg_$ss, format="%H:%M")
write.table(Ehrenberg_, file="Ehrenberg__SaSu.csv", dec=',', sep=';', row.names=FALSE)