library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Alpthal <- sunrise.set(47.0708236,8.71561840000004, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Alpthal$sunrise
sunset <- Alpthal$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Alpthal["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Alpthal["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Alpthal["timestamp"] <- align.time(Alpthal$sunrise, 60*10)
Alpthal <- Alpthal[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Alpthal, aes(x=Alpthal$timestamp)) + geom_line(aes(y=Alpthal$sr)) + geom_line(aes(y=Alpthal$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Alpthal 2024", x = "Datum", y = "Zeit")
pdf("Alpthal_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Alpthal_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Alpthal["Sonnenaufgang"] <- strftime(Alpthal$sr, format="%H:%M")
Alpthal["Sonnenuntergang"] <- strftime(Alpthal$ss, format="%H:%M")
write.table(Alpthal, file="Alpthal_SaSu.csv", dec=',', sep=';', row.names=FALSE)