library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bjerregard <- sunrise.set(55.8613134562673,8.171843479931681, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bjerregard$sunrise
sunset <- Bjerregard$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bjerregard["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bjerregard["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bjerregard["timestamp"] <- align.time(Bjerregard$sunrise, 60*10)
Bjerregard <- Bjerregard[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bjerregard, aes(x=Bjerregard$timestamp)) + geom_line(aes(y=Bjerregard$sr)) + geom_line(aes(y=Bjerregard$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bjerregard 2024", x = "Datum", y = "Zeit")
pdf("Bjerregard_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bjerregard_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bjerregard["Sonnenaufgang"] <- strftime(Bjerregard$sr, format="%H:%M")
Bjerregard["Sonnenuntergang"] <- strftime(Bjerregard$ss, format="%H:%M")
write.table(Bjerregard, file="Bjerregard_SaSu.csv", dec=',', sep=';', row.names=FALSE)