library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
42477 <- sunrise.set(51.2094389,7.3720815, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 42477$sunrise
sunset <- 42477$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
42477["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
42477["ss"] <- as.POSIXct(sunset, format = "%H:%M")
42477["timestamp"] <- align.time(42477$sunrise, 60*10)
42477 <- 42477[c("timestamp", "sr", "ss")]
locsrss <- ggplot(42477, aes(x=42477$timestamp)) + geom_line(aes(y=42477$sr)) + geom_line(aes(y=42477$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 42477 2025", x = "Datum", y = "Zeit")
pdf("42477_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="42477_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
42477["Sonnenaufgang"] <- strftime(42477$sr, format="%H:%M")
42477["Sonnenuntergang"] <- strftime(42477$ss, format="%H:%M")
write.table(42477, file="42477_SaSu.csv", dec=',', sep=';', row.names=FALSE)