library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Egypt <- sunrise.set(26.814266197561462,33.980712890625, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Egypt$sunrise
sunset <- Egypt$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Egypt["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Egypt["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Egypt["timestamp"] <- align.time(Egypt$sunrise, 60*10)
Egypt <- Egypt[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Egypt, aes(x=Egypt$timestamp)) + geom_line(aes(y=Egypt$sr)) + geom_line(aes(y=Egypt$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Egypt 2024", x = "Datum", y = "Zeit")
pdf("Egypt_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Egypt_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Egypt["Sonnenaufgang"] <- strftime(Egypt$sr, format="%H:%M")
Egypt["Sonnenuntergang"] <- strftime(Egypt$ss, format="%H:%M")
write.table(Egypt, file="Egypt_SaSu.csv", dec=',', sep=';', row.names=FALSE)