library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Flensburg_ <- sunrise.set(54.77176657021515,9.484761902929677, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Flensburg_$sunrise
sunset <- Flensburg_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Flensburg_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Flensburg_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Flensburg_["timestamp"] <- align.time(Flensburg_$sunrise, 60*10)
Flensburg_ <- Flensburg_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Flensburg_, aes(x=Flensburg_$timestamp)) + geom_line(aes(y=Flensburg_$sr)) + geom_line(aes(y=Flensburg_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Flensburg_ 2023", x = "Datum", y = "Zeit")
pdf("Flensburg__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Flensburg__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Flensburg_["Sonnenaufgang"] <- strftime(Flensburg_$sr, format="%H:%M")
Flensburg_["Sonnenuntergang"] <- strftime(Flensburg_$ss, format="%H:%M")
write.table(Flensburg_, file="Flensburg__SaSu.csv", dec=',', sep=';', row.names=FALSE)