library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Fort_Myers <- sunrise.set(26.640628,-81.87230840000001, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Fort_Myers$sunrise
sunset <- Fort_Myers$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Fort_Myers["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Fort_Myers["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Fort_Myers["timestamp"] <- align.time(Fort_Myers$sunrise, 60*10)
Fort_Myers <- Fort_Myers[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Fort_Myers, aes(x=Fort_Myers$timestamp)) + geom_line(aes(y=Fort_Myers$sr)) + geom_line(aes(y=Fort_Myers$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Fort_Myers 2024", x = "Datum", y = "Zeit")
pdf("Fort_Myers_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Fort_Myers_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Fort_Myers["Sonnenaufgang"] <- strftime(Fort_Myers$sr, format="%H:%M")
Fort_Myers["Sonnenuntergang"] <- strftime(Fort_Myers$ss, format="%H:%M")
write.table(Fort_Myers, file="Fort_Myers_SaSu.csv", dec=',', sep=';', row.names=FALSE)