library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bielefeld <- sunrise.set(52.0302285,8.532470800000055, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bielefeld$sunrise
sunset <- Bielefeld$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bielefeld["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bielefeld["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bielefeld["timestamp"] <- align.time(Bielefeld$sunrise, 60*10)
Bielefeld <- Bielefeld[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bielefeld, aes(x=Bielefeld$timestamp)) + geom_line(aes(y=Bielefeld$sr)) + geom_line(aes(y=Bielefeld$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bielefeld 2024", x = "Datum", y = "Zeit")
pdf("Bielefeld_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bielefeld_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bielefeld["Sonnenaufgang"] <- strftime(Bielefeld$sr, format="%H:%M")
Bielefeld["Sonnenuntergang"] <- strftime(Bielefeld$ss, format="%H:%M")
write.table(Bielefeld, file="Bielefeld_SaSu.csv", dec=',', sep=';', row.names=FALSE)