library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Altnau <- sunrise.set(47.61038,9.25766, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Altnau$sunrise
sunset <- Altnau$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Altnau["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Altnau["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Altnau["timestamp"] <- align.time(Altnau$sunrise, 60*10)
Altnau <- Altnau[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Altnau, aes(x=Altnau$timestamp)) + geom_line(aes(y=Altnau$sr)) + geom_line(aes(y=Altnau$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Altnau 2023", x = "Datum", y = "Zeit")
pdf("Altnau_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Altnau_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Altnau["Sonnenaufgang"] <- strftime(Altnau$sr, format="%H:%M")
Altnau["Sonnenuntergang"] <- strftime(Altnau$ss, format="%H:%M")
write.table(Altnau, file="Altnau_SaSu.csv", dec=',', sep=';', row.names=FALSE)