library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Döbeln <- sunrise.set(51.121063,13.122949, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Döbeln$sunrise
sunset <- Döbeln$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Döbeln["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Döbeln["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Döbeln["timestamp"] <- align.time(Döbeln$sunrise, 60*10)
Döbeln <- Döbeln[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Döbeln, aes(x=Döbeln$timestamp)) + geom_line(aes(y=Döbeln$sr)) + geom_line(aes(y=Döbeln$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Döbeln 2021", x = "Datum", y = "Zeit")
pdf("Döbeln_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Döbeln_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Döbeln["Sonnenaufgang"] <- strftime(Döbeln$sr, format="%H:%M")
Döbeln["Sonnenuntergang"] <- strftime(Döbeln$ss, format="%H:%M")
write.table(Döbeln, file="Döbeln_SaSu.csv", dec=',', sep=';', row.names=FALSE)