library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Durach <- sunrise.set(47.6960498,10.3437833, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Durach$sunrise
sunset <- Durach$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Durach["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Durach["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Durach["timestamp"] <- align.time(Durach$sunrise, 60*10)
Durach <- Durach[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Durach, aes(x=Durach$timestamp)) + geom_line(aes(y=Durach$sr)) + geom_line(aes(y=Durach$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Durach 2024", x = "Datum", y = "Zeit")
pdf("Durach_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Durach_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Durach["Sonnenaufgang"] <- strftime(Durach$sr, format="%H:%M")
Durach["Sonnenuntergang"] <- strftime(Durach$ss, format="%H:%M")
write.table(Durach, file="Durach_SaSu.csv", dec=',', sep=';', row.names=FALSE)