library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dubrauke <- sunrise.set(51.240003,14.610695, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Dubrauke$sunrise
sunset <- Dubrauke$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dubrauke["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dubrauke["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dubrauke["timestamp"] <- align.time(Dubrauke$sunrise, 60*10)
Dubrauke <- Dubrauke[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dubrauke, aes(x=Dubrauke$timestamp)) + geom_line(aes(y=Dubrauke$sr)) + geom_line(aes(y=Dubrauke$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dubrauke 2024", x = "Datum", y = "Zeit")
pdf("Dubrauke_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dubrauke_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dubrauke["Sonnenaufgang"] <- strftime(Dubrauke$sr, format="%H:%M")
Dubrauke["Sonnenuntergang"] <- strftime(Dubrauke$ss, format="%H:%M")
write.table(Dubrauke, file="Dubrauke_SaSu.csv", dec=',', sep=';', row.names=FALSE)