library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Oelixdorf <- sunrise.set(53.927559,9.5631771, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Oelixdorf$sunrise
sunset <- Oelixdorf$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Oelixdorf["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Oelixdorf["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Oelixdorf["timestamp"] <- align.time(Oelixdorf$sunrise, 60*10)
Oelixdorf <- Oelixdorf[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Oelixdorf, aes(x=Oelixdorf$timestamp)) + geom_line(aes(y=Oelixdorf$sr)) + geom_line(aes(y=Oelixdorf$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Oelixdorf 2024", x = "Datum", y = "Zeit")
pdf("Oelixdorf_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Oelixdorf_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Oelixdorf["Sonnenaufgang"] <- strftime(Oelixdorf$sr, format="%H:%M")
Oelixdorf["Sonnenuntergang"] <- strftime(Oelixdorf$ss, format="%H:%M")
write.table(Oelixdorf, file="Oelixdorf_SaSu.csv", dec=',', sep=';', row.names=FALSE)