library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bornholm_Juli <- sunrise.set(55.101017,14.708329000000049, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bornholm_Juli$sunrise
sunset <- Bornholm_Juli$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bornholm_Juli["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bornholm_Juli["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bornholm_Juli["timestamp"] <- align.time(Bornholm_Juli$sunrise, 60*10)
Bornholm_Juli <- Bornholm_Juli[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bornholm_Juli, aes(x=Bornholm_Juli$timestamp)) + geom_line(aes(y=Bornholm_Juli$sr)) + geom_line(aes(y=Bornholm_Juli$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bornholm_Juli 2024", x = "Datum", y = "Zeit")
pdf("Bornholm_Juli_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bornholm_Juli_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bornholm_Juli["Sonnenaufgang"] <- strftime(Bornholm_Juli$sr, format="%H:%M")
Bornholm_Juli["Sonnenuntergang"] <- strftime(Bornholm_Juli$ss, format="%H:%M")
write.table(Bornholm_Juli, file="Bornholm_Juli_SaSu.csv", dec=',', sep=';', row.names=FALSE)