library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
47533_kleve <- sunrise.set(51.786726,6.12954, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 47533_kleve$sunrise
sunset <- 47533_kleve$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
47533_kleve["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
47533_kleve["ss"] <- as.POSIXct(sunset, format = "%H:%M")
47533_kleve["timestamp"] <- align.time(47533_kleve$sunrise, 60*10)
47533_kleve <- 47533_kleve[c("timestamp", "sr", "ss")]
locsrss <- ggplot(47533_kleve, aes(x=47533_kleve$timestamp)) + geom_line(aes(y=47533_kleve$sr)) + geom_line(aes(y=47533_kleve$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 47533_kleve 2021", x = "Datum", y = "Zeit")
pdf("47533_kleve_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="47533_kleve_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
47533_kleve["Sonnenaufgang"] <- strftime(47533_kleve$sr, format="%H:%M")
47533_kleve["Sonnenuntergang"] <- strftime(47533_kleve$ss, format="%H:%M")
write.table(47533_kleve, file="47533_kleve_SaSu.csv", dec=',', sep=';', row.names=FALSE)