library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
94474 <- sunrise.set(48.38,13.11, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 94474$sunrise
sunset <- 94474$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
94474["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
94474["ss"] <- as.POSIXct(sunset, format = "%H:%M")
94474["timestamp"] <- align.time(94474$sunrise, 60*10)
94474 <- 94474[c("timestamp", "sr", "ss")]
locsrss <- ggplot(94474, aes(x=94474$timestamp)) + geom_line(aes(y=94474$sr)) + geom_line(aes(y=94474$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 94474 2024", x = "Datum", y = "Zeit")
pdf("94474_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="94474_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
94474["Sonnenaufgang"] <- strftime(94474$sr, format="%H:%M")
94474["Sonnenuntergang"] <- strftime(94474$ss, format="%H:%M")
write.table(94474, file="94474_SaSu.csv", dec=',', sep=';', row.names=FALSE)