library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Athen <- sunrise.set(37.9837155,23.7293097, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Athen$sunrise
sunset <- Athen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Athen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Athen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Athen["timestamp"] <- align.time(Athen$sunrise, 60*10)
Athen <- Athen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Athen, aes(x=Athen$timestamp)) + geom_line(aes(y=Athen$sr)) + geom_line(aes(y=Athen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Athen 2024", x = "Datum", y = "Zeit")
pdf("Athen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Athen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Athen["Sonnenaufgang"] <- strftime(Athen$sr, format="%H:%M")
Athen["Sonnenuntergang"] <- strftime(Athen$ss, format="%H:%M")
write.table(Athen, file="Athen_SaSu.csv", dec=',', sep=';', row.names=FALSE)