library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bray_Dunes <- sunrise.set(51.07088299999999,2.5248249999999643, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bray_Dunes$sunrise
sunset <- Bray_Dunes$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bray_Dunes["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bray_Dunes["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bray_Dunes["timestamp"] <- align.time(Bray_Dunes$sunrise, 60*10)
Bray_Dunes <- Bray_Dunes[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bray_Dunes, aes(x=Bray_Dunes$timestamp)) + geom_line(aes(y=Bray_Dunes$sr)) + geom_line(aes(y=Bray_Dunes$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bray_Dunes 2024", x = "Datum", y = "Zeit")
pdf("Bray_Dunes_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bray_Dunes_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bray_Dunes["Sonnenaufgang"] <- strftime(Bray_Dunes$sr, format="%H:%M")
Bray_Dunes["Sonnenuntergang"] <- strftime(Bray_Dunes$ss, format="%H:%M")
write.table(Bray_Dunes, file="Bray_Dunes_SaSu.csv", dec=',', sep=';', row.names=FALSE)