library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Franzburg_ <- sunrise.set(54.1855905,12.881766999999968, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Franzburg_$sunrise
sunset <- Franzburg_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Franzburg_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Franzburg_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Franzburg_["timestamp"] <- align.time(Franzburg_$sunrise, 60*10)
Franzburg_ <- Franzburg_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Franzburg_, aes(x=Franzburg_$timestamp)) + geom_line(aes(y=Franzburg_$sr)) + geom_line(aes(y=Franzburg_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Franzburg_ 2024", x = "Datum", y = "Zeit")
pdf("Franzburg__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Franzburg__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Franzburg_["Sonnenaufgang"] <- strftime(Franzburg_$sr, format="%H:%M")
Franzburg_["Sonnenuntergang"] <- strftime(Franzburg_$ss, format="%H:%M")
write.table(Franzburg_, file="Franzburg__SaSu.csv", dec=',', sep=';', row.names=FALSE)