library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
FL_Key_West <- sunrise.set(24.5557025,-81.7825914, "2024/01/01", timezone="MET", num.days=370)
sunrise <- FL_Key_West$sunrise
sunset <- FL_Key_West$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
FL_Key_West["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
FL_Key_West["ss"] <- as.POSIXct(sunset, format = "%H:%M")
FL_Key_West["timestamp"] <- align.time(FL_Key_West$sunrise, 60*10)
FL_Key_West <- FL_Key_West[c("timestamp", "sr", "ss")]
locsrss <- ggplot(FL_Key_West, aes(x=FL_Key_West$timestamp)) + geom_line(aes(y=FL_Key_West$sr)) + geom_line(aes(y=FL_Key_West$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - FL_Key_West 2024", x = "Datum", y = "Zeit")
pdf("FL_Key_West_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="FL_Key_West_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
FL_Key_West["Sonnenaufgang"] <- strftime(FL_Key_West$sr, format="%H:%M")
FL_Key_West["Sonnenuntergang"] <- strftime(FL_Key_West$ss, format="%H:%M")
write.table(FL_Key_West, file="FL_Key_West_SaSu.csv", dec=',', sep=';', row.names=FALSE)