library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Brasilien <- sunrise.set(-14.235004,-51.92527999999999, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Brasilien$sunrise
sunset <- Brasilien$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Brasilien["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Brasilien["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Brasilien["timestamp"] <- align.time(Brasilien$sunrise, 60*10)
Brasilien <- Brasilien[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Brasilien, aes(x=Brasilien$timestamp)) + geom_line(aes(y=Brasilien$sr)) + geom_line(aes(y=Brasilien$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Brasilien 2021", x = "Datum", y = "Zeit")
pdf("Brasilien_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Brasilien_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Brasilien["Sonnenaufgang"] <- strftime(Brasilien$sr, format="%H:%M")
Brasilien["Sonnenuntergang"] <- strftime(Brasilien$ss, format="%H:%M")
write.table(Brasilien, file="Brasilien_SaSu.csv", dec=',', sep=';', row.names=FALSE)