library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bendorf <- sunrise.set(50.45835099698136,7.602024078369141, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bendorf$sunrise
sunset <- Bendorf$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bendorf["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bendorf["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bendorf["timestamp"] <- align.time(Bendorf$sunrise, 60*10)
Bendorf <- Bendorf[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bendorf, aes(x=Bendorf$timestamp)) + geom_line(aes(y=Bendorf$sr)) + geom_line(aes(y=Bendorf$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bendorf 2024", x = "Datum", y = "Zeit")
pdf("Bendorf_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bendorf_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bendorf["Sonnenaufgang"] <- strftime(Bendorf$sr, format="%H:%M")
Bendorf["Sonnenuntergang"] <- strftime(Bendorf$ss, format="%H:%M")
write.table(Bendorf, file="Bendorf_SaSu.csv", dec=',', sep=';', row.names=FALSE)