library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dachau <- sunrise.set(48.261912755961085,11.449780877368198, "2020/01/01", timezone="MET", num.days=370)
sunrise <- Dachau$sunrise
sunset <- Dachau$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dachau["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dachau["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dachau["timestamp"] <- align.time(Dachau$sunrise, 60*10)
Dachau <- Dachau[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dachau, aes(x=Dachau$timestamp)) + geom_line(aes(y=Dachau$sr)) + geom_line(aes(y=Dachau$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dachau 2020", x = "Datum", y = "Zeit")
pdf("Dachau_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dachau_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dachau["Sonnenaufgang"] <- strftime(Dachau$sr, format="%H:%M")
Dachau["Sonnenuntergang"] <- strftime(Dachau$ss, format="%H:%M")
write.table(Dachau, file="Dachau_SaSu.csv", dec=',', sep=';', row.names=FALSE)