library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bevergern <- sunrise.set(52.2741667,7.5833333, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bevergern$sunrise
sunset <- Bevergern$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bevergern["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bevergern["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bevergern["timestamp"] <- align.time(Bevergern$sunrise, 60*10)
Bevergern <- Bevergern[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bevergern, aes(x=Bevergern$timestamp)) + geom_line(aes(y=Bevergern$sr)) + geom_line(aes(y=Bevergern$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bevergern 2024", x = "Datum", y = "Zeit")
pdf("Bevergern_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bevergern_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bevergern["Sonnenaufgang"] <- strftime(Bevergern$sr, format="%H:%M")
Bevergern["Sonnenuntergang"] <- strftime(Bevergern$ss, format="%H:%M")
write.table(Bevergern, file="Bevergern_SaSu.csv", dec=',', sep=';', row.names=FALSE)