library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Kerkrade <- sunrise.set(50.8659457,6.0705486, "2019/01/01", timezone="MET", num.days=370)
sunrise <- Kerkrade$sunrise
sunset <- Kerkrade$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Kerkrade["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Kerkrade["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Kerkrade["timestamp"] <- align.time(Kerkrade$sunrise, 60*10)
Kerkrade <- Kerkrade[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Kerkrade, aes(x=Kerkrade$timestamp)) + geom_line(aes(y=Kerkrade$sr)) + geom_line(aes(y=Kerkrade$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Kerkrade 2019", x = "Datum", y = "Zeit")
pdf("Kerkrade_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Kerkrade_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Kerkrade["Sonnenaufgang"] <- strftime(Kerkrade$sr, format="%H:%M")
Kerkrade["Sonnenuntergang"] <- strftime(Kerkrade$ss, format="%H:%M")
write.table(Kerkrade, file="Kerkrade_SaSu.csv", dec=',', sep=';', row.names=FALSE)