library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bülach <- sunrise.set(47.5198977,8.538110200000006, "2025/01/01", timezone="MET", num.days=370)
sunrise <- Bülach$sunrise
sunset <- Bülach$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bülach["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bülach["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bülach["timestamp"] <- align.time(Bülach$sunrise, 60*10)
Bülach <- Bülach[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bülach, aes(x=Bülach$timestamp)) + geom_line(aes(y=Bülach$sr)) + geom_line(aes(y=Bülach$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bülach 2025", x = "Datum", y = "Zeit")
pdf("Bülach_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bülach_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bülach["Sonnenaufgang"] <- strftime(Bülach$sr, format="%H:%M")
Bülach["Sonnenuntergang"] <- strftime(Bülach$ss, format="%H:%M")
write.table(Bülach, file="Bülach_SaSu.csv", dec=',', sep=';', row.names=FALSE)