library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Hofheim_a._Ts. <- sunrise.set(50.07615776920716,8.431527178729311, "2019/01/01", timezone="MET", num.days=370)
sunrise <- Hofheim_a._Ts.$sunrise
sunset <- Hofheim_a._Ts.$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Hofheim_a._Ts.["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Hofheim_a._Ts.["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Hofheim_a._Ts.["timestamp"] <- align.time(Hofheim_a._Ts.$sunrise, 60*10)
Hofheim_a._Ts. <- Hofheim_a._Ts.[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Hofheim_a._Ts., aes(x=Hofheim_a._Ts.$timestamp)) + geom_line(aes(y=Hofheim_a._Ts.$sr)) + geom_line(aes(y=Hofheim_a._Ts.$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Hofheim_a._Ts. 2019", x = "Datum", y = "Zeit")
pdf("Hofheim_a._Ts._SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Hofheim_a._Ts._SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Hofheim_a._Ts.["Sonnenaufgang"] <- strftime(Hofheim_a._Ts.$sr, format="%H:%M")
Hofheim_a._Ts.["Sonnenuntergang"] <- strftime(Hofheim_a._Ts.$ss, format="%H:%M")
write.table(Hofheim_a._Ts., file="Hofheim_a._Ts._SaSu.csv", dec=',', sep=';', row.names=FALSE)