library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Barmstedt <- sunrise.set(53.7905563,9.7692149, "2022/01/01", timezone="MET", num.days=370)
sunrise <- Barmstedt$sunrise
sunset <- Barmstedt$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Barmstedt["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Barmstedt["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Barmstedt["timestamp"] <- align.time(Barmstedt$sunrise, 60*10)
Barmstedt <- Barmstedt[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Barmstedt, aes(x=Barmstedt$timestamp)) + geom_line(aes(y=Barmstedt$sr)) + geom_line(aes(y=Barmstedt$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Barmstedt 2022", x = "Datum", y = "Zeit")
pdf("Barmstedt_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Barmstedt_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Barmstedt["Sonnenaufgang"] <- strftime(Barmstedt$sr, format="%H:%M")
Barmstedt["Sonnenuntergang"] <- strftime(Barmstedt$ss, format="%H:%M")
write.table(Barmstedt, file="Barmstedt_SaSu.csv", dec=',', sep=';', row.names=FALSE)