library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
44894 <- sunrise.set(51.49298169999999,7.305840799999942, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 44894$sunrise
sunset <- 44894$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
44894["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
44894["ss"] <- as.POSIXct(sunset, format = "%H:%M")
44894["timestamp"] <- align.time(44894$sunrise, 60*10)
44894 <- 44894[c("timestamp", "sr", "ss")]
locsrss <- ggplot(44894, aes(x=44894$timestamp)) + geom_line(aes(y=44894$sr)) + geom_line(aes(y=44894$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 44894 2024", x = "Datum", y = "Zeit")
pdf("44894_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="44894_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
44894["Sonnenaufgang"] <- strftime(44894$sr, format="%H:%M")
44894["Sonnenuntergang"] <- strftime(44894$ss, format="%H:%M")
write.table(44894, file="44894_SaSu.csv", dec=',', sep=';', row.names=FALSE)