library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Embken <- sunrise.set(50.6841667,6.5747221999999965, "2025/01/01", timezone="MET", num.days=370)
sunrise <- Embken$sunrise
sunset <- Embken$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Embken["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Embken["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Embken["timestamp"] <- align.time(Embken$sunrise, 60*10)
Embken <- Embken[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Embken, aes(x=Embken$timestamp)) + geom_line(aes(y=Embken$sr)) + geom_line(aes(y=Embken$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Embken 2025", x = "Datum", y = "Zeit")
pdf("Embken_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Embken_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Embken["Sonnenaufgang"] <- strftime(Embken$sr, format="%H:%M")
Embken["Sonnenuntergang"] <- strftime(Embken$ss, format="%H:%M")
write.table(Embken, file="Embken_SaSu.csv", dec=',', sep=';', row.names=FALSE)