library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Breisach <- sunrise.set(48.0348382,7.5836067, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Breisach$sunrise
sunset <- Breisach$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Breisach["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Breisach["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Breisach["timestamp"] <- align.time(Breisach$sunrise, 60*10)
Breisach <- Breisach[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Breisach, aes(x=Breisach$timestamp)) + geom_line(aes(y=Breisach$sr)) + geom_line(aes(y=Breisach$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Breisach 2023", x = "Datum", y = "Zeit")
pdf("Breisach_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Breisach_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Breisach["Sonnenaufgang"] <- strftime(Breisach$sr, format="%H:%M")
Breisach["Sonnenuntergang"] <- strftime(Breisach$ss, format="%H:%M")
write.table(Breisach, file="Breisach_SaSu.csv", dec=',', sep=';', row.names=FALSE)