library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
41464 <- sunrise.set(51.2075211,6.706313499999965, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 41464$sunrise
sunset <- 41464$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
41464["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
41464["ss"] <- as.POSIXct(sunset, format = "%H:%M")
41464["timestamp"] <- align.time(41464$sunrise, 60*10)
41464 <- 41464[c("timestamp", "sr", "ss")]
locsrss <- ggplot(41464, aes(x=41464$timestamp)) + geom_line(aes(y=41464$sr)) + geom_line(aes(y=41464$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 41464 2024", x = "Datum", y = "Zeit")
pdf("41464_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="41464_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
41464["Sonnenaufgang"] <- strftime(41464$sr, format="%H:%M")
41464["Sonnenuntergang"] <- strftime(41464$ss, format="%H:%M")
write.table(41464, file="41464_SaSu.csv", dec=',', sep=';', row.names=FALSE)