library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Chemnitz <- sunrise.set(50.83232,12.918630000000007, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Chemnitz$sunrise
sunset <- Chemnitz$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Chemnitz["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Chemnitz["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Chemnitz["timestamp"] <- align.time(Chemnitz$sunrise, 60*10)
Chemnitz <- Chemnitz[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Chemnitz, aes(x=Chemnitz$timestamp)) + geom_line(aes(y=Chemnitz$sr)) + geom_line(aes(y=Chemnitz$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Chemnitz 2024", x = "Datum", y = "Zeit")
pdf("Chemnitz_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Chemnitz_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Chemnitz["Sonnenaufgang"] <- strftime(Chemnitz$sr, format="%H:%M")
Chemnitz["Sonnenuntergang"] <- strftime(Chemnitz$ss, format="%H:%M")
write.table(Chemnitz, file="Chemnitz_SaSu.csv", dec=',', sep=';', row.names=FALSE)