library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Östersund <- sunrise.set(63.1791601,14.6356585, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Östersund$sunrise
sunset <- Östersund$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Östersund["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Östersund["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Östersund["timestamp"] <- align.time(Östersund$sunrise, 60*10)
Östersund <- Östersund[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Östersund, aes(x=Östersund$timestamp)) + geom_line(aes(y=Östersund$sr)) + geom_line(aes(y=Östersund$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Östersund 2024", x = "Datum", y = "Zeit")
pdf("Östersund_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Östersund_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Östersund["Sonnenaufgang"] <- strftime(Östersund$sr, format="%H:%M")
Östersund["Sonnenuntergang"] <- strftime(Östersund$ss, format="%H:%M")
write.table(Östersund, file="Östersund_SaSu.csv", dec=',', sep=';', row.names=FALSE)