library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Donauw��rth <- sunrise.set(48.7185826,10.777804100000026, "2022/01/01", timezone="MET", num.days=370)
sunrise <- Donauw��rth$sunrise
sunset <- Donauw��rth$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Donauw��rth["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Donauw��rth["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Donauw��rth["timestamp"] <- align.time(Donauw��rth$sunrise, 60*10)
Donauw��rth <- Donauw��rth[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Donauw��rth, aes(x=Donauw��rth$timestamp)) + geom_line(aes(y=Donauw��rth$sr)) + geom_line(aes(y=Donauw��rth$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Donauw��rth 2022", x = "Datum", y = "Zeit")
pdf("Donauw��rth_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Donauw��rth_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Donauw��rth["Sonnenaufgang"] <- strftime(Donauw��rth$sr, format="%H:%M")
Donauw��rth["Sonnenuntergang"] <- strftime(Donauw��rth$ss, format="%H:%M")
write.table(Donauw��rth, file="Donauw��rth_SaSu.csv", dec=',', sep=';', row.names=FALSE)