library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
44263 <- sunrise.set(51.4870339,7.496980500000063, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 44263$sunrise
sunset <- 44263$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
44263["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
44263["ss"] <- as.POSIXct(sunset, format = "%H:%M")
44263["timestamp"] <- align.time(44263$sunrise, 60*10)
44263 <- 44263[c("timestamp", "sr", "ss")]
locsrss <- ggplot(44263, aes(x=44263$timestamp)) + geom_line(aes(y=44263$sr)) + geom_line(aes(y=44263$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 44263 2024", x = "Datum", y = "Zeit")
pdf("44263_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="44263_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
44263["Sonnenaufgang"] <- strftime(44263$sr, format="%H:%M")
44263["Sonnenuntergang"] <- strftime(44263$ss, format="%H:%M")
write.table(44263, file="44263_SaSu.csv", dec=',', sep=';', row.names=FALSE)