library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Brink <- sunrise.set(51.05655608658533,7.651548385620117, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Brink$sunrise
sunset <- Brink$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Brink["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Brink["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Brink["timestamp"] <- align.time(Brink$sunrise, 60*10)
Brink <- Brink[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Brink, aes(x=Brink$timestamp)) + geom_line(aes(y=Brink$sr)) + geom_line(aes(y=Brink$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Brink 2021", x = "Datum", y = "Zeit")
pdf("Brink_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Brink_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Brink["Sonnenaufgang"] <- strftime(Brink$sr, format="%H:%M")
Brink["Sonnenuntergang"] <- strftime(Brink$ss, format="%H:%M")
write.table(Brink, file="Brink_SaSu.csv", dec=',', sep=';', row.names=FALSE)