library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Gruibingen <- sunrise.set(48.5950435,9.64064959999996, "2019/01/01", timezone="MET", num.days=370)
sunrise <- Gruibingen$sunrise
sunset <- Gruibingen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Gruibingen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Gruibingen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Gruibingen["timestamp"] <- align.time(Gruibingen$sunrise, 60*10)
Gruibingen <- Gruibingen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Gruibingen, aes(x=Gruibingen$timestamp)) + geom_line(aes(y=Gruibingen$sr)) + geom_line(aes(y=Gruibingen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Gruibingen 2019", x = "Datum", y = "Zeit")
pdf("Gruibingen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Gruibingen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Gruibingen["Sonnenaufgang"] <- strftime(Gruibingen$sr, format="%H:%M")
Gruibingen["Sonnenuntergang"] <- strftime(Gruibingen$ss, format="%H:%M")
write.table(Gruibingen, file="Gruibingen_SaSu.csv", dec=',', sep=';', row.names=FALSE)