library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
47807 <- sunrise.set(51.2994268,6.569497200000001, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 47807$sunrise
sunset <- 47807$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
47807["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
47807["ss"] <- as.POSIXct(sunset, format = "%H:%M")
47807["timestamp"] <- align.time(47807$sunrise, 60*10)
47807 <- 47807[c("timestamp", "sr", "ss")]
locsrss <- ggplot(47807, aes(x=47807$timestamp)) + geom_line(aes(y=47807$sr)) + geom_line(aes(y=47807$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 47807 2024", x = "Datum", y = "Zeit")
pdf("47807_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="47807_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
47807["Sonnenaufgang"] <- strftime(47807$sr, format="%H:%M")
47807["Sonnenuntergang"] <- strftime(47807$ss, format="%H:%M")
write.table(47807, file="47807_SaSu.csv", dec=',', sep=';', row.names=FALSE)