library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Annecy <- sunrise.set(45.899247,6.129384, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Annecy$sunrise
sunset <- Annecy$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Annecy["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Annecy["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Annecy["timestamp"] <- align.time(Annecy$sunrise, 60*10)
Annecy <- Annecy[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Annecy, aes(x=Annecy$timestamp)) + geom_line(aes(y=Annecy$sr)) + geom_line(aes(y=Annecy$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Annecy 2024", x = "Datum", y = "Zeit")
pdf("Annecy_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Annecy_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Annecy["Sonnenaufgang"] <- strftime(Annecy$sr, format="%H:%M")
Annecy["Sonnenuntergang"] <- strftime(Annecy$ss, format="%H:%M")
write.table(Annecy, file="Annecy_SaSu.csv", dec=',', sep=';', row.names=FALSE)