library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
46354 <- sunrise.set(51.9450666,6.868226600000071, "2022/01/01", timezone="MET", num.days=370)
sunrise <- 46354$sunrise
sunset <- 46354$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
46354["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
46354["ss"] <- as.POSIXct(sunset, format = "%H:%M")
46354["timestamp"] <- align.time(46354$sunrise, 60*10)
46354 <- 46354[c("timestamp", "sr", "ss")]
locsrss <- ggplot(46354, aes(x=46354$timestamp)) + geom_line(aes(y=46354$sr)) + geom_line(aes(y=46354$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 46354 2022", x = "Datum", y = "Zeit")
pdf("46354_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="46354_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
46354["Sonnenaufgang"] <- strftime(46354$sr, format="%H:%M")
46354["Sonnenuntergang"] <- strftime(46354$ss, format="%H:%M")
write.table(46354, file="46354_SaSu.csv", dec=',', sep=';', row.names=FALSE)