library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Asuncion <- sunrise.set(-25.2821972,-57.6351, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Asuncion$sunrise
sunset <- Asuncion$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Asuncion["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Asuncion["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Asuncion["timestamp"] <- align.time(Asuncion$sunrise, 60*10)
Asuncion <- Asuncion[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Asuncion, aes(x=Asuncion$timestamp)) + geom_line(aes(y=Asuncion$sr)) + geom_line(aes(y=Asuncion$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Asuncion 2024", x = "Datum", y = "Zeit")
pdf("Asuncion_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Asuncion_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Asuncion["Sonnenaufgang"] <- strftime(Asuncion$sr, format="%H:%M")
Asuncion["Sonnenuntergang"] <- strftime(Asuncion$ss, format="%H:%M")
write.table(Asuncion, file="Asuncion_SaSu.csv", dec=',', sep=';', row.names=FALSE)