library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Brodersby_Goltoft <- sunrise.set(54.5311517,9.7117232, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Brodersby_Goltoft$sunrise
sunset <- Brodersby_Goltoft$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Brodersby_Goltoft["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Brodersby_Goltoft["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Brodersby_Goltoft["timestamp"] <- align.time(Brodersby_Goltoft$sunrise, 60*10)
Brodersby_Goltoft <- Brodersby_Goltoft[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Brodersby_Goltoft, aes(x=Brodersby_Goltoft$timestamp)) + geom_line(aes(y=Brodersby_Goltoft$sr)) + geom_line(aes(y=Brodersby_Goltoft$ss)) + labs(title = " Sunrise/Sunset - Brodersby_Goltoft 2024", x = "Date", y = "Time")
pdf("Brodersby_Goltoft_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Brodersby_Goltoft_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Brodersby_Goltoft["Sunrise"] <- strftime(Brodersby_Goltoft$sr, format="%H:%M")
Brodersby_Goltoft["Sunset"] <- strftime(Brodersby_Goltoft$ss, format="%H:%M")
write.table(Brodersby_Goltoft, file="Brodersby_Goltoft_SaSu.csv", dec=',', sep=';', row.names=FALSE)