library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Allensbach <- sunrise.set(47.7171871,9.066345700000056, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Allensbach$sunrise
sunset <- Allensbach$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Allensbach["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Allensbach["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Allensbach["timestamp"] <- align.time(Allensbach$sunrise, 60*10)
Allensbach <- Allensbach[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Allensbach, aes(x=Allensbach$timestamp)) + geom_line(aes(y=Allensbach$sr)) + geom_line(aes(y=Allensbach$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Allensbach 2024", x = "Datum", y = "Zeit")
pdf("Allensbach_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Allensbach_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Allensbach["Sonnenaufgang"] <- strftime(Allensbach$sr, format="%H:%M")
Allensbach["Sonnenuntergang"] <- strftime(Allensbach$ss, format="%H:%M")
write.table(Allensbach, file="Allensbach_SaSu.csv", dec=',', sep=';', row.names=FALSE)