library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Egmond_Aan_Zee <- sunrise.set(52.6186114,4.6302431, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Egmond_Aan_Zee$sunrise
sunset <- Egmond_Aan_Zee$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Egmond_Aan_Zee["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Egmond_Aan_Zee["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Egmond_Aan_Zee["timestamp"] <- align.time(Egmond_Aan_Zee$sunrise, 60*10)
Egmond_Aan_Zee <- Egmond_Aan_Zee[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Egmond_Aan_Zee, aes(x=Egmond_Aan_Zee$timestamp)) + geom_line(aes(y=Egmond_Aan_Zee$sr)) + geom_line(aes(y=Egmond_Aan_Zee$ss)) + labs(title = " Sunrise/Sunset - Egmond_Aan_Zee 2024", x = "Date", y = "Time")
pdf("Egmond_Aan_Zee_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Egmond_Aan_Zee_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Egmond_Aan_Zee["Sunrise"] <- strftime(Egmond_Aan_Zee$sr, format="%H:%M")
Egmond_Aan_Zee["Sunset"] <- strftime(Egmond_Aan_Zee$ss, format="%H:%M")
write.table(Egmond_Aan_Zee, file="Egmond_Aan_Zee_SaSu.csv", dec=',', sep=';', row.names=FALSE)