library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bergheim <- sunrise.set(50.9451945,6.6555022, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bergheim$sunrise
sunset <- Bergheim$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bergheim["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bergheim["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bergheim["timestamp"] <- align.time(Bergheim$sunrise, 60*10)
Bergheim <- Bergheim[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bergheim, aes(x=Bergheim$timestamp)) + geom_line(aes(y=Bergheim$sr)) + geom_line(aes(y=Bergheim$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bergheim 2024", x = "Datum", y = "Zeit")
pdf("Bergheim_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bergheim_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bergheim["Sonnenaufgang"] <- strftime(Bergheim$sr, format="%H:%M")
Bergheim["Sonnenuntergang"] <- strftime(Bergheim$ss, format="%H:%M")
write.table(Bergheim, file="Bergheim_SaSu.csv", dec=',', sep=';', row.names=FALSE)