library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Ebehofen <- sunrise.set(47.8156098,10.6208362, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Ebehofen$sunrise
sunset <- Ebehofen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Ebehofen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Ebehofen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Ebehofen["timestamp"] <- align.time(Ebehofen$sunrise, 60*10)
Ebehofen <- Ebehofen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Ebehofen, aes(x=Ebehofen$timestamp)) + geom_line(aes(y=Ebehofen$sr)) + geom_line(aes(y=Ebehofen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Ebehofen 2024", x = "Datum", y = "Zeit")
pdf("Ebehofen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Ebehofen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Ebehofen["Sonnenaufgang"] <- strftime(Ebehofen$sr, format="%H:%M")
Ebehofen["Sonnenuntergang"] <- strftime(Ebehofen$ss, format="%H:%M")
write.table(Ebehofen, file="Ebehofen_SaSu.csv", dec=',', sep=';', row.names=FALSE)