library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Grimsey <- sunrise.set(66.5423498,-17.9961161, "2019/01/01", timezone="MET", num.days=370)
sunrise <- Grimsey$sunrise
sunset <- Grimsey$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Grimsey["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Grimsey["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Grimsey["timestamp"] <- align.time(Grimsey$sunrise, 60*10)
Grimsey <- Grimsey[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Grimsey, aes(x=Grimsey$timestamp)) + geom_line(aes(y=Grimsey$sr)) + geom_line(aes(y=Grimsey$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Grimsey 2019", x = "Datum", y = "Zeit")
pdf("Grimsey_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Grimsey_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Grimsey["Sonnenaufgang"] <- strftime(Grimsey$sr, format="%H:%M")
Grimsey["Sonnenuntergang"] <- strftime(Grimsey$ss, format="%H:%M")
write.table(Grimsey, file="Grimsey_SaSu.csv", dec=',', sep=';', row.names=FALSE)