library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Alt_Zauche <- sunrise.set(51.92071445401166,14.009456634521484, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Alt_Zauche$sunrise
sunset <- Alt_Zauche$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Alt_Zauche["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Alt_Zauche["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Alt_Zauche["timestamp"] <- align.time(Alt_Zauche$sunrise, 60*10)
Alt_Zauche <- Alt_Zauche[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Alt_Zauche, aes(x=Alt_Zauche$timestamp)) + geom_line(aes(y=Alt_Zauche$sr)) + geom_line(aes(y=Alt_Zauche$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Alt_Zauche 2021", x = "Datum", y = "Zeit")
pdf("Alt_Zauche_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Alt_Zauche_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Alt_Zauche["Sonnenaufgang"] <- strftime(Alt_Zauche$sr, format="%H:%M")
Alt_Zauche["Sonnenuntergang"] <- strftime(Alt_Zauche$ss, format="%H:%M")
write.table(Alt_Zauche, file="Alt_Zauche_SaSu.csv", dec=',', sep=';', row.names=FALSE)