library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Albufeira <- sunrise.set(37.0890719,-8.2478796, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Albufeira$sunrise
sunset <- Albufeira$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Albufeira["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Albufeira["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Albufeira["timestamp"] <- align.time(Albufeira$sunrise, 60*10)
Albufeira <- Albufeira[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Albufeira, aes(x=Albufeira$timestamp)) + geom_line(aes(y=Albufeira$sr)) + geom_line(aes(y=Albufeira$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Albufeira 2024", x = "Datum", y = "Zeit")
pdf("Albufeira_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Albufeira_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Albufeira["Sonnenaufgang"] <- strftime(Albufeira$sr, format="%H:%M")
Albufeira["Sonnenuntergang"] <- strftime(Albufeira$ss, format="%H:%M")
write.table(Albufeira, file="Albufeira_SaSu.csv", dec=',', sep=';', row.names=FALSE)