library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Apenrade <- sunrise.set(55.03549921776523,9.422621726989746, "2025/01/01", timezone="MET", num.days=370)
sunrise <- Apenrade$sunrise
sunset <- Apenrade$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Apenrade["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Apenrade["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Apenrade["timestamp"] <- align.time(Apenrade$sunrise, 60*10)
Apenrade <- Apenrade[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Apenrade, aes(x=Apenrade$timestamp)) + geom_line(aes(y=Apenrade$sr)) + geom_line(aes(y=Apenrade$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Apenrade 2025", x = "Datum", y = "Zeit")
pdf("Apenrade_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Apenrade_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Apenrade["Sonnenaufgang"] <- strftime(Apenrade$sr, format="%H:%M")
Apenrade["Sonnenuntergang"] <- strftime(Apenrade$ss, format="%H:%M")
write.table(Apenrade, file="Apenrade_SaSu.csv", dec=',', sep=';', row.names=FALSE)