library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Aurich <- sunrise.set(53.4708393,7.4848308, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Aurich$sunrise
sunset <- Aurich$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Aurich["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Aurich["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Aurich["timestamp"] <- align.time(Aurich$sunrise, 60*10)
Aurich <- Aurich[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Aurich, aes(x=Aurich$timestamp)) + geom_line(aes(y=Aurich$sr)) + geom_line(aes(y=Aurich$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Aurich 2024", x = "Datum", y = "Zeit")
pdf("Aurich_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Aurich_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Aurich["Sonnenaufgang"] <- strftime(Aurich$sr, format="%H:%M")
Aurich["Sonnenuntergang"] <- strftime(Aurich$ss, format="%H:%M")
write.table(Aurich, file="Aurich_SaSu.csv", dec=',', sep=';', row.names=FALSE)