library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Ahlbeck_ <- sunrise.set(53.9411111,14.1888889, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Ahlbeck_$sunrise
sunset <- Ahlbeck_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Ahlbeck_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Ahlbeck_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Ahlbeck_["timestamp"] <- align.time(Ahlbeck_$sunrise, 60*10)
Ahlbeck_ <- Ahlbeck_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Ahlbeck_, aes(x=Ahlbeck_$timestamp)) + geom_line(aes(y=Ahlbeck_$sr)) + geom_line(aes(y=Ahlbeck_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Ahlbeck_ 2024", x = "Datum", y = "Zeit")
pdf("Ahlbeck__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Ahlbeck__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Ahlbeck_["Sonnenaufgang"] <- strftime(Ahlbeck_$sr, format="%H:%M")
Ahlbeck_["Sonnenuntergang"] <- strftime(Ahlbeck_$ss, format="%H:%M")
write.table(Ahlbeck_, file="Ahlbeck__SaSu.csv", dec=',', sep=';', row.names=FALSE)