library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bietigheim_Bissingen <- sunrise.set(48.96518146063178,9.142766759616052, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bietigheim_Bissingen$sunrise
sunset <- Bietigheim_Bissingen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bietigheim_Bissingen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bietigheim_Bissingen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bietigheim_Bissingen["timestamp"] <- align.time(Bietigheim_Bissingen$sunrise, 60*10)
Bietigheim_Bissingen <- Bietigheim_Bissingen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bietigheim_Bissingen, aes(x=Bietigheim_Bissingen$timestamp)) + geom_line(aes(y=Bietigheim_Bissingen$sr)) + geom_line(aes(y=Bietigheim_Bissingen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bietigheim_Bissingen 2024", x = "Datum", y = "Zeit")
pdf("Bietigheim_Bissingen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bietigheim_Bissingen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bietigheim_Bissingen["Sonnenaufgang"] <- strftime(Bietigheim_Bissingen$sr, format="%H:%M")
Bietigheim_Bissingen["Sonnenuntergang"] <- strftime(Bietigheim_Bissingen$ss, format="%H:%M")
write.table(Bietigheim_Bissingen, file="Bietigheim_Bissingen_SaSu.csv", dec=',', sep=';', row.names=FALSE)