library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Clervaux <- sunrise.set(50.0550282,6.0299537, "2019/01/01", timezone="MET", num.days=370)
sunrise <- Clervaux$sunrise
sunset <- Clervaux$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Clervaux["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Clervaux["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Clervaux["timestamp"] <- align.time(Clervaux$sunrise, 60*10)
Clervaux <- Clervaux[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Clervaux, aes(x=Clervaux$timestamp)) + geom_line(aes(y=Clervaux$sr)) + geom_line(aes(y=Clervaux$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Clervaux 2019", x = "Datum", y = "Zeit")
pdf("Clervaux_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Clervaux_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Clervaux["Sonnenaufgang"] <- strftime(Clervaux$sr, format="%H:%M")
Clervaux["Sonnenuntergang"] <- strftime(Clervaux$ss, format="%H:%M")
write.table(Clervaux, file="Clervaux_SaSu.csv", dec=',', sep=';', row.names=FALSE)