library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dornach <- sunrise.set(47.4790491,7.617041200000017, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Dornach$sunrise
sunset <- Dornach$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dornach["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dornach["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dornach["timestamp"] <- align.time(Dornach$sunrise, 60*10)
Dornach <- Dornach[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dornach, aes(x=Dornach$timestamp)) + geom_line(aes(y=Dornach$sr)) + geom_line(aes(y=Dornach$ss)) + labs(title = " Sunrise/Sunset - Dornach 2024", x = "Date", y = "Time")
pdf("Dornach_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dornach_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dornach["Sunrise"] <- strftime(Dornach$sr, format="%H:%M")
Dornach["Sunset"] <- strftime(Dornach$ss, format="%H:%M")
write.table(Dornach, file="Dornach_SaSu.csv", dec=',', sep=';', row.names=FALSE)