library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Coburg <- sunrise.set(50.23597238513139,10.943359136581421, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Coburg$sunrise
sunset <- Coburg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Coburg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Coburg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Coburg["timestamp"] <- align.time(Coburg$sunrise, 60*10)
Coburg <- Coburg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Coburg, aes(x=Coburg$timestamp)) + geom_line(aes(y=Coburg$sr)) + geom_line(aes(y=Coburg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Coburg 2024", x = "Datum", y = "Zeit")
pdf("Coburg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Coburg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Coburg["Sonnenaufgang"] <- strftime(Coburg$sr, format="%H:%M")
Coburg["Sonnenuntergang"] <- strftime(Coburg$ss, format="%H:%M")
write.table(Coburg, file="Coburg_SaSu.csv", dec=',', sep=';', row.names=FALSE)