library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Caracas <- sunrise.set(10.49605,-66.898277, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Caracas$sunrise
sunset <- Caracas$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Caracas["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Caracas["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Caracas["timestamp"] <- align.time(Caracas$sunrise, 60*10)
Caracas <- Caracas[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Caracas, aes(x=Caracas$timestamp)) + geom_line(aes(y=Caracas$sr)) + geom_line(aes(y=Caracas$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Caracas 2024", x = "Datum", y = "Zeit")
pdf("Caracas_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Caracas_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Caracas["Sonnenaufgang"] <- strftime(Caracas$sr, format="%H:%M")
Caracas["Sonnenuntergang"] <- strftime(Caracas$ss, format="%H:%M")
write.table(Caracas, file="Caracas_SaSu.csv", dec=',', sep=';', row.names=FALSE)