library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Buxtehude <- sunrise.set(53.44879425016446,9.75586128566897, "2019/01/01", timezone="MET", num.days=370)
sunrise <- Buxtehude$sunrise
sunset <- Buxtehude$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Buxtehude["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Buxtehude["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Buxtehude["timestamp"] <- align.time(Buxtehude$sunrise, 60*10)
Buxtehude <- Buxtehude[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Buxtehude, aes(x=Buxtehude$timestamp)) + geom_line(aes(y=Buxtehude$sr)) + geom_line(aes(y=Buxtehude$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Buxtehude 2019", x = "Datum", y = "Zeit")
pdf("Buxtehude_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Buxtehude_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Buxtehude["Sonnenaufgang"] <- strftime(Buxtehude$sr, format="%H:%M")
Buxtehude["Sonnenuntergang"] <- strftime(Buxtehude$ss, format="%H:%M")
write.table(Buxtehude, file="Buxtehude_SaSu.csv", dec=',', sep=';', row.names=FALSE)