library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Badstaffelstein <- sunrise.set(50.10392119999999,10.992918099999997, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Badstaffelstein$sunrise
sunset <- Badstaffelstein$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Badstaffelstein["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Badstaffelstein["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Badstaffelstein["timestamp"] <- align.time(Badstaffelstein$sunrise, 60*10)
Badstaffelstein <- Badstaffelstein[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Badstaffelstein, aes(x=Badstaffelstein$timestamp)) + geom_line(aes(y=Badstaffelstein$sr)) + geom_line(aes(y=Badstaffelstein$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Badstaffelstein 2024", x = "Datum", y = "Zeit")
pdf("Badstaffelstein_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Badstaffelstein_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Badstaffelstein["Sonnenaufgang"] <- strftime(Badstaffelstein$sr, format="%H:%M")
Badstaffelstein["Sonnenuntergang"] <- strftime(Badstaffelstein$ss, format="%H:%M")
write.table(Badstaffelstein, file="Badstaffelstein_SaSu.csv", dec=',', sep=';', row.names=FALSE)