library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bedburg <- sunrise.set(51.00625549652342,6.545317362768515, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bedburg$sunrise
sunset <- Bedburg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bedburg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bedburg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bedburg["timestamp"] <- align.time(Bedburg$sunrise, 60*10)
Bedburg <- Bedburg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bedburg, aes(x=Bedburg$timestamp)) + geom_line(aes(y=Bedburg$sr)) + geom_line(aes(y=Bedburg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bedburg 2024", x = "Datum", y = "Zeit")
pdf("Bedburg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bedburg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bedburg["Sonnenaufgang"] <- strftime(Bedburg$sr, format="%H:%M")
Bedburg["Sonnenuntergang"] <- strftime(Bedburg$ss, format="%H:%M")
write.table(Bedburg, file="Bedburg_SaSu.csv", dec=',', sep=';', row.names=FALSE)