library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Abensberg <- sunrise.set(48.8177181,11.850786700000072, "2019/01/01", timezone="MET", num.days=370)
sunrise <- Abensberg$sunrise
sunset <- Abensberg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Abensberg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Abensberg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Abensberg["timestamp"] <- align.time(Abensberg$sunrise, 60*10)
Abensberg <- Abensberg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Abensberg, aes(x=Abensberg$timestamp)) + geom_line(aes(y=Abensberg$sr)) + geom_line(aes(y=Abensberg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Abensberg 2019", x = "Datum", y = "Zeit")
pdf("Abensberg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Abensberg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Abensberg["Sonnenaufgang"] <- strftime(Abensberg$sr, format="%H:%M")
Abensberg["Sonnenuntergang"] <- strftime(Abensberg$ss, format="%H:%M")
write.table(Abensberg, file="Abensberg_SaSu.csv", dec=',', sep=';', row.names=FALSE)