library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Flos_Llanos <- sunrise.set(28.6577222,-17.91220169999997, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Flos_Llanos$sunrise
sunset <- Flos_Llanos$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Flos_Llanos["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Flos_Llanos["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Flos_Llanos["timestamp"] <- align.time(Flos_Llanos$sunrise, 60*10)
Flos_Llanos <- Flos_Llanos[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Flos_Llanos, aes(x=Flos_Llanos$timestamp)) + geom_line(aes(y=Flos_Llanos$sr)) + geom_line(aes(y=Flos_Llanos$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Flos_Llanos 2024", x = "Datum", y = "Zeit")
pdf("Flos_Llanos_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Flos_Llanos_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Flos_Llanos["Sonnenaufgang"] <- strftime(Flos_Llanos$sr, format="%H:%M")
Flos_Llanos["Sonnenuntergang"] <- strftime(Flos_Llanos$ss, format="%H:%M")
write.table(Flos_Llanos, file="Flos_Llanos_SaSu.csv", dec=',', sep=';', row.names=FALSE)