library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
34582 <- sunrise.set(51.0518467,9.2813226, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 34582$sunrise
sunset <- 34582$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
34582["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
34582["ss"] <- as.POSIXct(sunset, format = "%H:%M")
34582["timestamp"] <- align.time(34582$sunrise, 60*10)
34582 <- 34582[c("timestamp", "sr", "ss")]
locsrss <- ggplot(34582, aes(x=34582$timestamp)) + geom_line(aes(y=34582$sr)) + geom_line(aes(y=34582$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 34582 2021", x = "Datum", y = "Zeit")
pdf("34582_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="34582_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
34582["Sonnenaufgang"] <- strftime(34582$sr, format="%H:%M")
34582["Sonnenuntergang"] <- strftime(34582$ss, format="%H:%M")
write.table(34582, file="34582_SaSu.csv", dec=',', sep=';', row.names=FALSE)