library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
42857 <- sunrise.set(51.16776050000001,7.1621551, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 42857$sunrise
sunset <- 42857$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
42857["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
42857["ss"] <- as.POSIXct(sunset, format = "%H:%M")
42857["timestamp"] <- align.time(42857$sunrise, 60*10)
42857 <- 42857[c("timestamp", "sr", "ss")]
locsrss <- ggplot(42857, aes(x=42857$timestamp)) + geom_line(aes(y=42857$sr)) + geom_line(aes(y=42857$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 42857 2024", x = "Datum", y = "Zeit")
pdf("42857_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="42857_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
42857["Sonnenaufgang"] <- strftime(42857$sr, format="%H:%M")
42857["Sonnenuntergang"] <- strftime(42857$ss, format="%H:%M")
write.table(42857, file="42857_SaSu.csv", dec=',', sep=';', row.names=FALSE)