library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Birmensdorf <- sunrise.set(47.36080416875207,8.455524444580078, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Birmensdorf$sunrise
sunset <- Birmensdorf$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Birmensdorf["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Birmensdorf["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Birmensdorf["timestamp"] <- align.time(Birmensdorf$sunrise, 60*10)
Birmensdorf <- Birmensdorf[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Birmensdorf, aes(x=Birmensdorf$timestamp)) + geom_line(aes(y=Birmensdorf$sr)) + geom_line(aes(y=Birmensdorf$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Birmensdorf 2024", x = "Datum", y = "Zeit")
pdf("Birmensdorf_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Birmensdorf_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Birmensdorf["Sonnenaufgang"] <- strftime(Birmensdorf$sr, format="%H:%M")
Birmensdorf["Sonnenuntergang"] <- strftime(Birmensdorf$ss, format="%H:%M")
write.table(Birmensdorf, file="Birmensdorf_SaSu.csv", dec=',', sep=';', row.names=FALSE)