library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Csibrak <- sunrise.set(46.4644224,18.34595509999997, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Csibrak$sunrise
sunset <- Csibrak$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Csibrak["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Csibrak["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Csibrak["timestamp"] <- align.time(Csibrak$sunrise, 60*10)
Csibrak <- Csibrak[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Csibrak, aes(x=Csibrak$timestamp)) + geom_line(aes(y=Csibrak$sr)) + geom_line(aes(y=Csibrak$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Csibrak 2024", x = "Datum", y = "Zeit")
pdf("Csibrak_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Csibrak_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Csibrak["Sonnenaufgang"] <- strftime(Csibrak$sr, format="%H:%M")
Csibrak["Sonnenuntergang"] <- strftime(Csibrak$ss, format="%H:%M")
write.table(Csibrak, file="Csibrak_SaSu.csv", dec=',', sep=';', row.names=FALSE)