library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
47589 <- sunrise.set(51.6738215,6.284361199999999, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 47589$sunrise
sunset <- 47589$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
47589["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
47589["ss"] <- as.POSIXct(sunset, format = "%H:%M")
47589["timestamp"] <- align.time(47589$sunrise, 60*10)
47589 <- 47589[c("timestamp", "sr", "ss")]
locsrss <- ggplot(47589, aes(x=47589$timestamp)) + geom_line(aes(y=47589$sr)) + geom_line(aes(y=47589$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 47589 2024", x = "Datum", y = "Zeit")
pdf("47589_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="47589_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
47589["Sonnenaufgang"] <- strftime(47589$sr, format="%H:%M")
47589["Sonnenuntergang"] <- strftime(47589$ss, format="%H:%M")
write.table(47589, file="47589_SaSu.csv", dec=',', sep=';', row.names=FALSE)