library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Zwickau <- sunrise.set(50.7102169,12.473372499999982, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Zwickau$sunrise
sunset <- Zwickau$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Zwickau["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Zwickau["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Zwickau["timestamp"] <- align.time(Zwickau$sunrise, 60*10)
Zwickau <- Zwickau[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Zwickau, aes(x=Zwickau$timestamp)) + geom_line(aes(y=Zwickau$sr)) + geom_line(aes(y=Zwickau$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Zwickau 2024", x = "Datum", y = "Zeit")
pdf("Zwickau_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Zwickau_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Zwickau["Sonnenaufgang"] <- strftime(Zwickau$sr, format="%H:%M")
Zwickau["Sonnenuntergang"] <- strftime(Zwickau$ss, format="%H:%M")
write.table(Zwickau, file="Zwickau_SaSu.csv", dec=',', sep=';', row.names=FALSE)