library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dornumersiel_ <- sunrise.set(53.68216594986162,7.484021842756761, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Dornumersiel_$sunrise
sunset <- Dornumersiel_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dornumersiel_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dornumersiel_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dornumersiel_["timestamp"] <- align.time(Dornumersiel_$sunrise, 60*10)
Dornumersiel_ <- Dornumersiel_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dornumersiel_, aes(x=Dornumersiel_$timestamp)) + geom_line(aes(y=Dornumersiel_$sr)) + geom_line(aes(y=Dornumersiel_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dornumersiel_ 2023", x = "Datum", y = "Zeit")
pdf("Dornumersiel__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dornumersiel__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dornumersiel_["Sonnenaufgang"] <- strftime(Dornumersiel_$sr, format="%H:%M")
Dornumersiel_["Sonnenuntergang"] <- strftime(Dornumersiel_$ss, format="%H:%M")
write.table(Dornumersiel_, file="Dornumersiel__SaSu.csv", dec=',', sep=';', row.names=FALSE)