library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Broome_australien <- sunrise.set(-17.9512214,122.2443272, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Broome_australien$sunrise
sunset <- Broome_australien$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Broome_australien["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Broome_australien["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Broome_australien["timestamp"] <- align.time(Broome_australien$sunrise, 60*10)
Broome_australien <- Broome_australien[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Broome_australien, aes(x=Broome_australien$timestamp)) + geom_line(aes(y=Broome_australien$sr)) + geom_line(aes(y=Broome_australien$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Broome_australien 2021", x = "Datum", y = "Zeit")
pdf("Broome_australien_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Broome_australien_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Broome_australien["Sonnenaufgang"] <- strftime(Broome_australien$sr, format="%H:%M")
Broome_australien["Sonnenuntergang"] <- strftime(Broome_australien$ss, format="%H:%M")
write.table(Broome_australien, file="Broome_australien_SaSu.csv", dec=',', sep=';', row.names=FALSE)