library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Abisko <- sunrise.set(68.333333,18.85, "2020/01/01", timezone="MET", num.days=370)
sunrise <- Abisko$sunrise
sunset <- Abisko$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Abisko["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Abisko["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Abisko["timestamp"] <- align.time(Abisko$sunrise, 60*10)
Abisko <- Abisko[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Abisko, aes(x=Abisko$timestamp)) + geom_line(aes(y=Abisko$sr)) + geom_line(aes(y=Abisko$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Abisko 2020", x = "Datum", y = "Zeit")
pdf("Abisko_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Abisko_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Abisko["Sonnenaufgang"] <- strftime(Abisko$sr, format="%H:%M")
Abisko["Sonnenuntergang"] <- strftime(Abisko$ss, format="%H:%M")
write.table(Abisko, file="Abisko_SaSu.csv", dec=',', sep=';', row.names=FALSE)