library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dornum_Westdorf <- sunrise.set(53.6439673,7.319806, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Dornum_Westdorf$sunrise
sunset <- Dornum_Westdorf$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dornum_Westdorf["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dornum_Westdorf["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dornum_Westdorf["timestamp"] <- align.time(Dornum_Westdorf$sunrise, 60*10)
Dornum_Westdorf <- Dornum_Westdorf[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dornum_Westdorf, aes(x=Dornum_Westdorf$timestamp)) + geom_line(aes(y=Dornum_Westdorf$sr)) + geom_line(aes(y=Dornum_Westdorf$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dornum_Westdorf 2024", x = "Datum", y = "Zeit")
pdf("Dornum_Westdorf_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dornum_Westdorf_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dornum_Westdorf["Sonnenaufgang"] <- strftime(Dornum_Westdorf$sr, format="%H:%M")
Dornum_Westdorf["Sonnenuntergang"] <- strftime(Dornum_Westdorf$ss, format="%H:%M")
write.table(Dornum_Westdorf, file="Dornum_Westdorf_SaSu.csv", dec=',', sep=';', row.names=FALSE)