library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Burglengenfeld <- sunrise.set(49.2092526,12.0400104, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Burglengenfeld$sunrise
sunset <- Burglengenfeld$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Burglengenfeld["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Burglengenfeld["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Burglengenfeld["timestamp"] <- align.time(Burglengenfeld$sunrise, 60*10)
Burglengenfeld <- Burglengenfeld[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Burglengenfeld, aes(x=Burglengenfeld$timestamp)) + geom_line(aes(y=Burglengenfeld$sr)) + geom_line(aes(y=Burglengenfeld$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Burglengenfeld 2021", x = "Datum", y = "Zeit")
pdf("Burglengenfeld_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Burglengenfeld_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Burglengenfeld["Sonnenaufgang"] <- strftime(Burglengenfeld$sr, format="%H:%M")
Burglengenfeld["Sonnenuntergang"] <- strftime(Burglengenfeld$ss, format="%H:%M")
write.table(Burglengenfeld, file="Burglengenfeld_SaSu.csv", dec=',', sep=';', row.names=FALSE)