library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dornhan <- sunrise.set(48.349289,8.5088681, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Dornhan$sunrise
sunset <- Dornhan$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dornhan["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dornhan["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dornhan["timestamp"] <- align.time(Dornhan$sunrise, 60*10)
Dornhan <- Dornhan[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dornhan, aes(x=Dornhan$timestamp)) + geom_line(aes(y=Dornhan$sr)) + geom_line(aes(y=Dornhan$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dornhan 2024", x = "Datum", y = "Zeit")
pdf("Dornhan_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dornhan_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dornhan["Sonnenaufgang"] <- strftime(Dornhan$sr, format="%H:%M")
Dornhan["Sonnenuntergang"] <- strftime(Dornhan$ss, format="%H:%M")
write.table(Dornhan, file="Dornhan_SaSu.csv", dec=',', sep=';', row.names=FALSE)