library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dietzenbach <- sunrise.set(50.0172906,8.78696089999994, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Dietzenbach$sunrise
sunset <- Dietzenbach$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dietzenbach["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dietzenbach["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dietzenbach["timestamp"] <- align.time(Dietzenbach$sunrise, 60*10)
Dietzenbach <- Dietzenbach[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dietzenbach, aes(x=Dietzenbach$timestamp)) + geom_line(aes(y=Dietzenbach$sr)) + geom_line(aes(y=Dietzenbach$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dietzenbach 2024", x = "Datum", y = "Zeit")
pdf("Dietzenbach_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dietzenbach_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dietzenbach["Sonnenaufgang"] <- strftime(Dietzenbach$sr, format="%H:%M")
Dietzenbach["Sonnenuntergang"] <- strftime(Dietzenbach$ss, format="%H:%M")
write.table(Dietzenbach, file="Dietzenbach_SaSu.csv", dec=',', sep=';', row.names=FALSE)