library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bagenz <- sunrise.set(51.65479785755136,14.431131362426754, "2020/01/01", timezone="MET", num.days=370)
sunrise <- Bagenz$sunrise
sunset <- Bagenz$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bagenz["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bagenz["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bagenz["timestamp"] <- align.time(Bagenz$sunrise, 60*10)
Bagenz <- Bagenz[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bagenz, aes(x=Bagenz$timestamp)) + geom_line(aes(y=Bagenz$sr)) + geom_line(aes(y=Bagenz$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bagenz 2020", x = "Datum", y = "Zeit")
pdf("Bagenz_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bagenz_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bagenz["Sonnenaufgang"] <- strftime(Bagenz$sr, format="%H:%M")
Bagenz["Sonnenuntergang"] <- strftime(Bagenz$ss, format="%H:%M")
write.table(Bagenz, file="Bagenz_SaSu.csv", dec=',', sep=';', row.names=FALSE)