library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Büsum <- sunrise.set(54.138657494357325,8.846311569213867, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Büsum$sunrise
sunset <- Büsum$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Büsum["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Büsum["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Büsum["timestamp"] <- align.time(Büsum$sunrise, 60*10)
Büsum <- Büsum[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Büsum, aes(x=Büsum$timestamp)) + geom_line(aes(y=Büsum$sr)) + geom_line(aes(y=Büsum$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Büsum 2021", x = "Datum", y = "Zeit")
pdf("Büsum_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Büsum_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Büsum["Sonnenaufgang"] <- strftime(Büsum$sr, format="%H:%M")
Büsum["Sonnenuntergang"] <- strftime(Büsum$ss, format="%H:%M")
write.table(Büsum, file="Büsum_SaSu.csv", dec=',', sep=';', row.names=FALSE)