library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dessau_Roßlau <- sunrise.set(51.8428278,12.2303935, "2019/01/01", timezone="MET", num.days=370)
sunrise <- Dessau_Roßlau$sunrise
sunset <- Dessau_Roßlau$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dessau_Roßlau["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dessau_Roßlau["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dessau_Roßlau["timestamp"] <- align.time(Dessau_Roßlau$sunrise, 60*10)
Dessau_Roßlau <- Dessau_Roßlau[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dessau_Roßlau, aes(x=Dessau_Roßlau$timestamp)) + geom_line(aes(y=Dessau_Roßlau$sr)) + geom_line(aes(y=Dessau_Roßlau$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dessau_Roßlau 2019", x = "Datum", y = "Zeit")
pdf("Dessau_Roßlau_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dessau_Roßlau_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dessau_Roßlau["Sonnenaufgang"] <- strftime(Dessau_Roßlau$sr, format="%H:%M")
Dessau_Roßlau["Sonnenuntergang"] <- strftime(Dessau_Roßlau$ss, format="%H:%M")
write.table(Dessau_Roßlau, file="Dessau_Roßlau_SaSu.csv", dec=',', sep=';', row.names=FALSE)