library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Death_valley <- sunrise.set(36.3758985,-116.8969064, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Death_valley$sunrise
sunset <- Death_valley$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Death_valley["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Death_valley["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Death_valley["timestamp"] <- align.time(Death_valley$sunrise, 60*10)
Death_valley <- Death_valley[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Death_valley, aes(x=Death_valley$timestamp)) + geom_line(aes(y=Death_valley$sr)) + geom_line(aes(y=Death_valley$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Death_valley 2024", x = "Datum", y = "Zeit")
pdf("Death_valley_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Death_valley_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Death_valley["Sonnenaufgang"] <- strftime(Death_valley$sr, format="%H:%M")
Death_valley["Sonnenuntergang"] <- strftime(Death_valley$ss, format="%H:%M")
write.table(Death_valley, file="Death_valley_SaSu.csv", dec=',', sep=';', row.names=FALSE)