library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bernburg_ <- sunrise.set(51.797014,11.7342099, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bernburg_$sunrise
sunset <- Bernburg_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bernburg_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bernburg_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bernburg_["timestamp"] <- align.time(Bernburg_$sunrise, 60*10)
Bernburg_ <- Bernburg_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bernburg_, aes(x=Bernburg_$timestamp)) + geom_line(aes(y=Bernburg_$sr)) + geom_line(aes(y=Bernburg_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bernburg_ 2024", x = "Datum", y = "Zeit")
pdf("Bernburg__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bernburg__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bernburg_["Sonnenaufgang"] <- strftime(Bernburg_$sr, format="%H:%M")
Bernburg_["Sonnenuntergang"] <- strftime(Bernburg_$ss, format="%H:%M")
write.table(Bernburg_, file="Bernburg__SaSu.csv", dec=',', sep=';', row.names=FALSE)