library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Köpmanholmen <- sunrise.set(63.1678441,18.5631839, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Köpmanholmen$sunrise
sunset <- Köpmanholmen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Köpmanholmen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Köpmanholmen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Köpmanholmen["timestamp"] <- align.time(Köpmanholmen$sunrise, 60*10)
Köpmanholmen <- Köpmanholmen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Köpmanholmen, aes(x=Köpmanholmen$timestamp)) + geom_line(aes(y=Köpmanholmen$sr)) + geom_line(aes(y=Köpmanholmen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Köpmanholmen 2021", x = "Datum", y = "Zeit")
pdf("Köpmanholmen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Köpmanholmen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Köpmanholmen["Sonnenaufgang"] <- strftime(Köpmanholmen$sr, format="%H:%M")
Köpmanholmen["Sonnenuntergang"] <- strftime(Köpmanholmen$ss, format="%H:%M")
write.table(Köpmanholmen, file="Köpmanholmen_SaSu.csv", dec=',', sep=';', row.names=FALSE)