library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Domburg <- sunrise.set(51.5634575,3.4998639, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Domburg$sunrise
sunset <- Domburg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Domburg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Domburg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Domburg["timestamp"] <- align.time(Domburg$sunrise, 60*10)
Domburg <- Domburg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Domburg, aes(x=Domburg$timestamp)) + geom_line(aes(y=Domburg$sr)) + geom_line(aes(y=Domburg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Domburg 2024", x = "Datum", y = "Zeit")
pdf("Domburg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Domburg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Domburg["Sonnenaufgang"] <- strftime(Domburg$sr, format="%H:%M")
Domburg["Sonnenuntergang"] <- strftime(Domburg$ss, format="%H:%M")
write.table(Domburg, file="Domburg_SaSu.csv", dec=',', sep=';', row.names=FALSE)