library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bielefled <- sunrise.set(52.0230618,8.5330723, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bielefled$sunrise
sunset <- Bielefled$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bielefled["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bielefled["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bielefled["timestamp"] <- align.time(Bielefled$sunrise, 60*10)
Bielefled <- Bielefled[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bielefled, aes(x=Bielefled$timestamp)) + geom_line(aes(y=Bielefled$sr)) + geom_line(aes(y=Bielefled$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bielefled 2024", x = "Datum", y = "Zeit")
pdf("Bielefled_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bielefled_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bielefled["Sonnenaufgang"] <- strftime(Bielefled$sr, format="%H:%M")
Bielefled["Sonnenuntergang"] <- strftime(Bielefled$ss, format="%H:%M")
write.table(Bielefled, file="Bielefled_SaSu.csv", dec=',', sep=';', row.names=FALSE)