library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Beringen_SH <- sunrise.set(47.705337,8.5754838, "2019/01/01", timezone="MET", num.days=370)
sunrise <- Beringen_SH$sunrise
sunset <- Beringen_SH$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Beringen_SH["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Beringen_SH["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Beringen_SH["timestamp"] <- align.time(Beringen_SH$sunrise, 60*10)
Beringen_SH <- Beringen_SH[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Beringen_SH, aes(x=Beringen_SH$timestamp)) + geom_line(aes(y=Beringen_SH$sr)) + geom_line(aes(y=Beringen_SH$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Beringen_SH 2019", x = "Datum", y = "Zeit")
pdf("Beringen_SH_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Beringen_SH_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Beringen_SH["Sonnenaufgang"] <- strftime(Beringen_SH$sr, format="%H:%M")
Beringen_SH["Sonnenuntergang"] <- strftime(Beringen_SH$ss, format="%H:%M")
write.table(Beringen_SH, file="Beringen_SH_SaSu.csv", dec=',', sep=';', row.names=FALSE)