library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Datteln_Horneburg <- sunrise.set(51.6299558,7.2928653, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Datteln_Horneburg$sunrise
sunset <- Datteln_Horneburg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Datteln_Horneburg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Datteln_Horneburg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Datteln_Horneburg["timestamp"] <- align.time(Datteln_Horneburg$sunrise, 60*10)
Datteln_Horneburg <- Datteln_Horneburg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Datteln_Horneburg, aes(x=Datteln_Horneburg$timestamp)) + geom_line(aes(y=Datteln_Horneburg$sr)) + geom_line(aes(y=Datteln_Horneburg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Datteln_Horneburg 2024", x = "Datum", y = "Zeit")
pdf("Datteln_Horneburg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Datteln_Horneburg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Datteln_Horneburg["Sonnenaufgang"] <- strftime(Datteln_Horneburg$sr, format="%H:%M")
Datteln_Horneburg["Sonnenuntergang"] <- strftime(Datteln_Horneburg$ss, format="%H:%M")
write.table(Datteln_Horneburg, file="Datteln_Horneburg_SaSu.csv", dec=',', sep=';', row.names=FALSE)