library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Belgrade <- sunrise.set(44.802416,20.465601, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Belgrade$sunrise
sunset <- Belgrade$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Belgrade["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Belgrade["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Belgrade["timestamp"] <- align.time(Belgrade$sunrise, 60*10)
Belgrade <- Belgrade[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Belgrade, aes(x=Belgrade$timestamp)) + geom_line(aes(y=Belgrade$sr)) + geom_line(aes(y=Belgrade$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Belgrade 2021", x = "Datum", y = "Zeit")
pdf("Belgrade_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Belgrade_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Belgrade["Sonnenaufgang"] <- strftime(Belgrade$sr, format="%H:%M")
Belgrade["Sonnenuntergang"] <- strftime(Belgrade$ss, format="%H:%M")
write.table(Belgrade, file="Belgrade_SaSu.csv", dec=',', sep=';', row.names=FALSE)