library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
De_23909 <- sunrise.set(53.6982277,10.7717809, "2021/01/01", timezone="MET", num.days=370)
sunrise <- De_23909$sunrise
sunset <- De_23909$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
De_23909["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
De_23909["ss"] <- as.POSIXct(sunset, format = "%H:%M")
De_23909["timestamp"] <- align.time(De_23909$sunrise, 60*10)
De_23909 <- De_23909[c("timestamp", "sr", "ss")]
locsrss <- ggplot(De_23909, aes(x=De_23909$timestamp)) + geom_line(aes(y=De_23909$sr)) + geom_line(aes(y=De_23909$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - De_23909 2021", x = "Datum", y = "Zeit")
pdf("De_23909_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="De_23909_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
De_23909["Sonnenaufgang"] <- strftime(De_23909$sr, format="%H:%M")
De_23909["Sonnenuntergang"] <- strftime(De_23909$ss, format="%H:%M")
write.table(De_23909, file="De_23909_SaSu.csv", dec=',', sep=';', row.names=FALSE)