library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Freiburg <- sunrise.set(47.96854838794287,7.9547882080078125, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Freiburg$sunrise
sunset <- Freiburg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Freiburg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Freiburg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Freiburg["timestamp"] <- align.time(Freiburg$sunrise, 60*10)
Freiburg <- Freiburg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Freiburg, aes(x=Freiburg$timestamp)) + geom_line(aes(y=Freiburg$sr)) + geom_line(aes(y=Freiburg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Freiburg 2023", x = "Datum", y = "Zeit")
pdf("Freiburg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Freiburg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Freiburg["Sonnenaufgang"] <- strftime(Freiburg$sr, format="%H:%M")
Freiburg["Sonnenuntergang"] <- strftime(Freiburg$ss, format="%H:%M")
write.table(Freiburg, file="Freiburg_SaSu.csv", dec=',', sep=';', row.names=FALSE)