library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
53639 <- sunrise.set(50.692446,7.2629186, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 53639$sunrise
sunset <- 53639$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
53639["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
53639["ss"] <- as.POSIXct(sunset, format = "%H:%M")
53639["timestamp"] <- align.time(53639$sunrise, 60*10)
53639 <- 53639[c("timestamp", "sr", "ss")]
locsrss <- ggplot(53639, aes(x=53639$timestamp)) + geom_line(aes(y=53639$sr)) + geom_line(aes(y=53639$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 53639 2024", x = "Datum", y = "Zeit")
pdf("53639_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="53639_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
53639["Sonnenaufgang"] <- strftime(53639$sr, format="%H:%M")
53639["Sonnenuntergang"] <- strftime(53639$ss, format="%H:%M")
write.table(53639, file="53639_SaSu.csv", dec=',', sep=';', row.names=FALSE)