library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
54595__Willwerath <- sunrise.set(50.24893549999999,6.465454700000009, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 54595__Willwerath$sunrise
sunset <- 54595__Willwerath$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
54595__Willwerath["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
54595__Willwerath["ss"] <- as.POSIXct(sunset, format = "%H:%M")
54595__Willwerath["timestamp"] <- align.time(54595__Willwerath$sunrise, 60*10)
54595__Willwerath <- 54595__Willwerath[c("timestamp", "sr", "ss")]
locsrss <- ggplot(54595__Willwerath, aes(x=54595__Willwerath$timestamp)) + geom_line(aes(y=54595__Willwerath$sr)) + geom_line(aes(y=54595__Willwerath$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 54595__Willwerath 2024", x = "Datum", y = "Zeit")
pdf("54595__Willwerath_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="54595__Willwerath_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
54595__Willwerath["Sonnenaufgang"] <- strftime(54595__Willwerath$sr, format="%H:%M")
54595__Willwerath["Sonnenuntergang"] <- strftime(54595__Willwerath$ss, format="%H:%M")
write.table(54595__Willwerath, file="54595__Willwerath_SaSu.csv", dec=',', sep=';', row.names=FALSE)