library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bubikon <- sunrise.set(47.267935,8.818529600000033, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bubikon$sunrise
sunset <- Bubikon$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bubikon["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bubikon["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bubikon["timestamp"] <- align.time(Bubikon$sunrise, 60*10)
Bubikon <- Bubikon[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bubikon, aes(x=Bubikon$timestamp)) + geom_line(aes(y=Bubikon$sr)) + geom_line(aes(y=Bubikon$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bubikon 2024", x = "Datum", y = "Zeit")
pdf("Bubikon_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bubikon_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bubikon["Sonnenaufgang"] <- strftime(Bubikon$sr, format="%H:%M")
Bubikon["Sonnenuntergang"] <- strftime(Bubikon$ss, format="%H:%M")
write.table(Bubikon, file="Bubikon_SaSu.csv", dec=',', sep=';', row.names=FALSE)