library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Erbstetten_ <- sunrise.set(48.9256514,9.3912984, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Erbstetten_$sunrise
sunset <- Erbstetten_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Erbstetten_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Erbstetten_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Erbstetten_["timestamp"] <- align.time(Erbstetten_$sunrise, 60*10)
Erbstetten_ <- Erbstetten_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Erbstetten_, aes(x=Erbstetten_$timestamp)) + geom_line(aes(y=Erbstetten_$sr)) + geom_line(aes(y=Erbstetten_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Erbstetten_ 2024", x = "Datum", y = "Zeit")
pdf("Erbstetten__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Erbstetten__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Erbstetten_["Sonnenaufgang"] <- strftime(Erbstetten_$sr, format="%H:%M")
Erbstetten_["Sonnenuntergang"] <- strftime(Erbstetten_$ss, format="%H:%M")
write.table(Erbstetten_, file="Erbstetten__SaSu.csv", dec=',', sep=';', row.names=FALSE)