library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Auenstein_Aargau <- sunrise.set(47.44324024114613,8.089628219604492, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Auenstein_Aargau$sunrise
sunset <- Auenstein_Aargau$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Auenstein_Aargau["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Auenstein_Aargau["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Auenstein_Aargau["timestamp"] <- align.time(Auenstein_Aargau$sunrise, 60*10)
Auenstein_Aargau <- Auenstein_Aargau[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Auenstein_Aargau, aes(x=Auenstein_Aargau$timestamp)) + geom_line(aes(y=Auenstein_Aargau$sr)) + geom_line(aes(y=Auenstein_Aargau$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Auenstein_Aargau 2024", x = "Datum", y = "Zeit")
pdf("Auenstein_Aargau_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Auenstein_Aargau_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Auenstein_Aargau["Sonnenaufgang"] <- strftime(Auenstein_Aargau$sr, format="%H:%M")
Auenstein_Aargau["Sonnenuntergang"] <- strftime(Auenstein_Aargau$ss, format="%H:%M")
write.table(Auenstein_Aargau, file="Auenstein_Aargau_SaSu.csv", dec=',', sep=';', row.names=FALSE)