library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Desnapur_bali <- sunrise.set(-8.4095178,115.188916, "2020/01/01", timezone="MET", num.days=370)
sunrise <- Desnapur_bali$sunrise
sunset <- Desnapur_bali$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Desnapur_bali["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Desnapur_bali["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Desnapur_bali["timestamp"] <- align.time(Desnapur_bali$sunrise, 60*10)
Desnapur_bali <- Desnapur_bali[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Desnapur_bali, aes(x=Desnapur_bali$timestamp)) + geom_line(aes(y=Desnapur_bali$sr)) + geom_line(aes(y=Desnapur_bali$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Desnapur_bali 2020", x = "Datum", y = "Zeit")
pdf("Desnapur_bali_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Desnapur_bali_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Desnapur_bali["Sonnenaufgang"] <- strftime(Desnapur_bali$sr, format="%H:%M")
Desnapur_bali["Sonnenuntergang"] <- strftime(Desnapur_bali$ss, format="%H:%M")
write.table(Desnapur_bali, file="Desnapur_bali_SaSu.csv", dec=',', sep=';', row.names=FALSE)