library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Ellerstadt <- sunrise.set(49.4634277,8.2606324, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Ellerstadt$sunrise
sunset <- Ellerstadt$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Ellerstadt["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Ellerstadt["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Ellerstadt["timestamp"] <- align.time(Ellerstadt$sunrise, 60*10)
Ellerstadt <- Ellerstadt[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Ellerstadt, aes(x=Ellerstadt$timestamp)) + geom_line(aes(y=Ellerstadt$sr)) + geom_line(aes(y=Ellerstadt$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Ellerstadt 2023", x = "Datum", y = "Zeit")
pdf("Ellerstadt_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Ellerstadt_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Ellerstadt["Sonnenaufgang"] <- strftime(Ellerstadt$sr, format="%H:%M")
Ellerstadt["Sonnenuntergang"] <- strftime(Ellerstadt$ss, format="%H:%M")
write.table(Ellerstadt, file="Ellerstadt_SaSu.csv", dec=',', sep=';', row.names=FALSE)