library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Chlomos <- sunrise.set(39.4564522,19.9578929, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Chlomos$sunrise
sunset <- Chlomos$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Chlomos["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Chlomos["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Chlomos["timestamp"] <- align.time(Chlomos$sunrise, 60*10)
Chlomos <- Chlomos[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Chlomos, aes(x=Chlomos$timestamp)) + geom_line(aes(y=Chlomos$sr)) + geom_line(aes(y=Chlomos$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Chlomos 2024", x = "Datum", y = "Zeit")
pdf("Chlomos_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Chlomos_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Chlomos["Sonnenaufgang"] <- strftime(Chlomos$sr, format="%H:%M")
Chlomos["Sonnenuntergang"] <- strftime(Chlomos$ss, format="%H:%M")
write.table(Chlomos, file="Chlomos_SaSu.csv", dec=',', sep=';', row.names=FALSE)