library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Competa_ <- sunrise.set(36.8328107,-3.973813, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Competa_$sunrise
sunset <- Competa_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Competa_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Competa_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Competa_["timestamp"] <- align.time(Competa_$sunrise, 60*10)
Competa_ <- Competa_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Competa_, aes(x=Competa_$timestamp)) + geom_line(aes(y=Competa_$sr)) + geom_line(aes(y=Competa_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Competa_ 2024", x = "Datum", y = "Zeit")
pdf("Competa__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Competa__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Competa_["Sonnenaufgang"] <- strftime(Competa_$sr, format="%H:%M")
Competa_["Sonnenuntergang"] <- strftime(Competa_$ss, format="%H:%M")
write.table(Competa_, file="Competa__SaSu.csv", dec=',', sep=';', row.names=FALSE)