library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Carolinensiel_ <- sunrise.set(53.691601,7.801536, "2020/01/01", timezone="MET", num.days=370)
sunrise <- Carolinensiel_$sunrise
sunset <- Carolinensiel_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Carolinensiel_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Carolinensiel_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Carolinensiel_["timestamp"] <- align.time(Carolinensiel_$sunrise, 60*10)
Carolinensiel_ <- Carolinensiel_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Carolinensiel_, aes(x=Carolinensiel_$timestamp)) + geom_line(aes(y=Carolinensiel_$sr)) + geom_line(aes(y=Carolinensiel_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Carolinensiel_ 2020", x = "Datum", y = "Zeit")
pdf("Carolinensiel__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Carolinensiel__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Carolinensiel_["Sonnenaufgang"] <- strftime(Carolinensiel_$sr, format="%H:%M")
Carolinensiel_["Sonnenuntergang"] <- strftime(Carolinensiel_$ss, format="%H:%M")
write.table(Carolinensiel_, file="Carolinensiel__SaSu.csv", dec=',', sep=';', row.names=FALSE)