library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bryce_Canyon <- sunrise.set(37.6283161,-112.1676947, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bryce_Canyon$sunrise
sunset <- Bryce_Canyon$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bryce_Canyon["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bryce_Canyon["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bryce_Canyon["timestamp"] <- align.time(Bryce_Canyon$sunrise, 60*10)
Bryce_Canyon <- Bryce_Canyon[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bryce_Canyon, aes(x=Bryce_Canyon$timestamp)) + geom_line(aes(y=Bryce_Canyon$sr)) + geom_line(aes(y=Bryce_Canyon$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bryce_Canyon 2024", x = "Datum", y = "Zeit")
pdf("Bryce_Canyon_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bryce_Canyon_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bryce_Canyon["Sonnenaufgang"] <- strftime(Bryce_Canyon$sr, format="%H:%M")
Bryce_Canyon["Sonnenuntergang"] <- strftime(Bryce_Canyon$ss, format="%H:%M")
write.table(Bryce_Canyon, file="Bryce_Canyon_SaSu.csv", dec=',', sep=';', row.names=FALSE)