library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Delphi <- sunrise.set(38.4800516,22.494062299999996, "2019/01/01", timezone="MET", num.days=370)
sunrise <- Delphi$sunrise
sunset <- Delphi$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Delphi["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Delphi["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Delphi["timestamp"] <- align.time(Delphi$sunrise, 60*10)
Delphi <- Delphi[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Delphi, aes(x=Delphi$timestamp)) + geom_line(aes(y=Delphi$sr)) + geom_line(aes(y=Delphi$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Delphi 2019", x = "Datum", y = "Zeit")
pdf("Delphi_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Delphi_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Delphi["Sonnenaufgang"] <- strftime(Delphi$sr, format="%H:%M")
Delphi["Sonnenuntergang"] <- strftime(Delphi$ss, format="%H:%M")
write.table(Delphi, file="Delphi_SaSu.csv", dec=',', sep=';', row.names=FALSE)