library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bruckneudorf <- sunrise.set(48.0179559,16.779200400000036, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bruckneudorf$sunrise
sunset <- Bruckneudorf$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bruckneudorf["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bruckneudorf["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bruckneudorf["timestamp"] <- align.time(Bruckneudorf$sunrise, 60*10)
Bruckneudorf <- Bruckneudorf[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bruckneudorf, aes(x=Bruckneudorf$timestamp)) + geom_line(aes(y=Bruckneudorf$sr)) + geom_line(aes(y=Bruckneudorf$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bruckneudorf 2024", x = "Datum", y = "Zeit")
pdf("Bruckneudorf_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bruckneudorf_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bruckneudorf["Sonnenaufgang"] <- strftime(Bruckneudorf$sr, format="%H:%M")
Bruckneudorf["Sonnenuntergang"] <- strftime(Bruckneudorf$ss, format="%H:%M")
write.table(Bruckneudorf, file="Bruckneudorf_SaSu.csv", dec=',', sep=';', row.names=FALSE)