library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
46485 <- sunrise.set(51.6534456,6.653707499999996, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 46485$sunrise
sunset <- 46485$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
46485["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
46485["ss"] <- as.POSIXct(sunset, format = "%H:%M")
46485["timestamp"] <- align.time(46485$sunrise, 60*10)
46485 <- 46485[c("timestamp", "sr", "ss")]
locsrss <- ggplot(46485, aes(x=46485$timestamp)) + geom_line(aes(y=46485$sr)) + geom_line(aes(y=46485$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 46485 2024", x = "Datum", y = "Zeit")
pdf("46485_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="46485_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
46485["Sonnenaufgang"] <- strftime(46485$sr, format="%H:%M")
46485["Sonnenuntergang"] <- strftime(46485$ss, format="%H:%M")
write.table(46485, file="46485_SaSu.csv", dec=',', sep=';', row.names=FALSE)