library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
45472 <- sunrise.set(51.431547,6.927435, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 45472$sunrise
sunset <- 45472$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
45472["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
45472["ss"] <- as.POSIXct(sunset, format = "%H:%M")
45472["timestamp"] <- align.time(45472$sunrise, 60*10)
45472 <- 45472[c("timestamp", "sr", "ss")]
locsrss <- ggplot(45472, aes(x=45472$timestamp)) + geom_line(aes(y=45472$sr)) + geom_line(aes(y=45472$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 45472 2024", x = "Datum", y = "Zeit")
pdf("45472_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="45472_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
45472["Sonnenaufgang"] <- strftime(45472$sr, format="%H:%M")
45472["Sonnenuntergang"] <- strftime(45472$ss, format="%H:%M")
write.table(45472, file="45472_SaSu.csv", dec=',', sep=';', row.names=FALSE)