library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Cape_coral <- sunrise.set(26.5628537,-81.9495331, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Cape_coral$sunrise
sunset <- Cape_coral$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Cape_coral["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Cape_coral["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Cape_coral["timestamp"] <- align.time(Cape_coral$sunrise, 60*10)
Cape_coral <- Cape_coral[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Cape_coral, aes(x=Cape_coral$timestamp)) + geom_line(aes(y=Cape_coral$sr)) + geom_line(aes(y=Cape_coral$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Cape_coral 2024", x = "Datum", y = "Zeit")
pdf("Cape_coral_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Cape_coral_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Cape_coral["Sonnenaufgang"] <- strftime(Cape_coral$sr, format="%H:%M")
Cape_coral["Sonnenuntergang"] <- strftime(Cape_coral$ss, format="%H:%M")
write.table(Cape_coral, file="Cape_coral_SaSu.csv", dec=',', sep=';', row.names=FALSE)