library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Arrecife <- sunrise.set(28.9651694,-13.555036299999983, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Arrecife$sunrise
sunset <- Arrecife$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Arrecife["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Arrecife["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Arrecife["timestamp"] <- align.time(Arrecife$sunrise, 60*10)
Arrecife <- Arrecife[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Arrecife, aes(x=Arrecife$timestamp)) + geom_line(aes(y=Arrecife$sr)) + geom_line(aes(y=Arrecife$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Arrecife 2021", x = "Datum", y = "Zeit")
pdf("Arrecife_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Arrecife_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Arrecife["Sonnenaufgang"] <- strftime(Arrecife$sr, format="%H:%M")
Arrecife["Sonnenuntergang"] <- strftime(Arrecife$ss, format="%H:%M")
write.table(Arrecife, file="Arrecife_SaSu.csv", dec=',', sep=';', row.names=FALSE)