library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Denver <- sunrise.set(39.755092,-104.988123, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Denver$sunrise
sunset <- Denver$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Denver["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Denver["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Denver["timestamp"] <- align.time(Denver$sunrise, 60*10)
Denver <- Denver[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Denver, aes(x=Denver$timestamp)) + geom_line(aes(y=Denver$sr)) + geom_line(aes(y=Denver$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Denver 2024", x = "Datum", y = "Zeit")
pdf("Denver_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Denver_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Denver["Sonnenaufgang"] <- strftime(Denver$sr, format="%H:%M")
Denver["Sonnenuntergang"] <- strftime(Denver$ss, format="%H:%M")
write.table(Denver, file="Denver_SaSu.csv", dec=',', sep=';', row.names=FALSE)