library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Kaiserslautern <- sunrise.set(49.4400657,7.7491264999999885, "2019/01/01", timezone="MET", num.days=370)
sunrise <- Kaiserslautern$sunrise
sunset <- Kaiserslautern$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Kaiserslautern["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Kaiserslautern["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Kaiserslautern["timestamp"] <- align.time(Kaiserslautern$sunrise, 60*10)
Kaiserslautern <- Kaiserslautern[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Kaiserslautern, aes(x=Kaiserslautern$timestamp)) + geom_line(aes(y=Kaiserslautern$sr)) + geom_line(aes(y=Kaiserslautern$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Kaiserslautern 2019", x = "Datum", y = "Zeit")
pdf("Kaiserslautern_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Kaiserslautern_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Kaiserslautern["Sonnenaufgang"] <- strftime(Kaiserslautern$sr, format="%H:%M")
Kaiserslautern["Sonnenuntergang"] <- strftime(Kaiserslautern$ss, format="%H:%M")
write.table(Kaiserslautern, file="Kaiserslautern_SaSu.csv", dec=',', sep=';', row.names=FALSE)