library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
D_76684 <- sunrise.set(49.1856005,8.7593045, "2021/01/01", timezone="MET", num.days=370)
sunrise <- D_76684$sunrise
sunset <- D_76684$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
D_76684["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
D_76684["ss"] <- as.POSIXct(sunset, format = "%H:%M")
D_76684["timestamp"] <- align.time(D_76684$sunrise, 60*10)
D_76684 <- D_76684[c("timestamp", "sr", "ss")]
locsrss <- ggplot(D_76684, aes(x=D_76684$timestamp)) + geom_line(aes(y=D_76684$sr)) + geom_line(aes(y=D_76684$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - D_76684 2021", x = "Datum", y = "Zeit")
pdf("D_76684_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="D_76684_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
D_76684["Sonnenaufgang"] <- strftime(D_76684$sr, format="%H:%M")
D_76684["Sonnenuntergang"] <- strftime(D_76684$ss, format="%H:%M")
write.table(D_76684, file="D_76684_SaSu.csv", dec=',', sep=';', row.names=FALSE)