library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Eisenh��ttenstadt <- sunrise.set(52.1436615,14.6419022, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Eisenh��ttenstadt$sunrise
sunset <- Eisenh��ttenstadt$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Eisenh��ttenstadt["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Eisenh��ttenstadt["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Eisenh��ttenstadt["timestamp"] <- align.time(Eisenh��ttenstadt$sunrise, 60*10)
Eisenh��ttenstadt <- Eisenh��ttenstadt[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Eisenh��ttenstadt, aes(x=Eisenh��ttenstadt$timestamp)) + geom_line(aes(y=Eisenh��ttenstadt$sr)) + geom_line(aes(y=Eisenh��ttenstadt$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Eisenh��ttenstadt 2023", x = "Datum", y = "Zeit")
pdf("Eisenh��ttenstadt_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Eisenh��ttenstadt_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Eisenh��ttenstadt["Sonnenaufgang"] <- strftime(Eisenh��ttenstadt$sr, format="%H:%M")
Eisenh��ttenstadt["Sonnenuntergang"] <- strftime(Eisenh��ttenstadt$ss, format="%H:%M")
write.table(Eisenh��ttenstadt, file="Eisenh��ttenstadt_SaSu.csv", dec=',', sep=';', row.names=FALSE)