library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Frankfurt <- sunrise.set(51.163375,10.447683, "2019/01/01", timezone="MET", num.days=370)
sunrise <- Frankfurt$sunrise
sunset <- Frankfurt$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Frankfurt["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Frankfurt["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Frankfurt["timestamp"] <- align.time(Frankfurt$sunrise, 60*10)
Frankfurt <- Frankfurt[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Frankfurt, aes(x=Frankfurt$timestamp)) + geom_line(aes(y=Frankfurt$sr)) + geom_line(aes(y=Frankfurt$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Frankfurt 2019", x = "Datum", y = "Zeit")
pdf("Frankfurt_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Frankfurt_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Frankfurt["Sonnenaufgang"] <- strftime(Frankfurt$sr, format="%H:%M")
Frankfurt["Sonnenuntergang"] <- strftime(Frankfurt$ss, format="%H:%M")
write.table(Frankfurt, file="Frankfurt_SaSu.csv", dec=',', sep=';', row.names=FALSE)