library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Annaberg_Buchholz <- sunrise.set(50.578587,13.0075835, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Annaberg_Buchholz$sunrise
sunset <- Annaberg_Buchholz$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Annaberg_Buchholz["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Annaberg_Buchholz["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Annaberg_Buchholz["timestamp"] <- align.time(Annaberg_Buchholz$sunrise, 60*10)
Annaberg_Buchholz <- Annaberg_Buchholz[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Annaberg_Buchholz, aes(x=Annaberg_Buchholz$timestamp)) + geom_line(aes(y=Annaberg_Buchholz$sr)) + geom_line(aes(y=Annaberg_Buchholz$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Annaberg_Buchholz 2024", x = "Datum", y = "Zeit")
pdf("Annaberg_Buchholz_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Annaberg_Buchholz_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Annaberg_Buchholz["Sonnenaufgang"] <- strftime(Annaberg_Buchholz$sr, format="%H:%M")
Annaberg_Buchholz["Sonnenuntergang"] <- strftime(Annaberg_Buchholz$ss, format="%H:%M")
write.table(Annaberg_Buchholz, file="Annaberg_Buchholz_SaSu.csv", dec=',', sep=';', row.names=FALSE)