library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
27442 <- sunrise.set(51.96,7.62, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 27442$sunrise
sunset <- 27442$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
27442["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
27442["ss"] <- as.POSIXct(sunset, format = "%H:%M")
27442["timestamp"] <- align.time(27442$sunrise, 60*10)
27442 <- 27442[c("timestamp", "sr", "ss")]
locsrss <- ggplot(27442, aes(x=27442$timestamp)) + geom_line(aes(y=27442$sr)) + geom_line(aes(y=27442$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 27442 2021", x = "Datum", y = "Zeit")
pdf("27442_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="27442_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
27442["Sonnenaufgang"] <- strftime(27442$sr, format="%H:%M")
27442["Sonnenuntergang"] <- strftime(27442$ss, format="%H:%M")
write.table(27442, file="27442_SaSu.csv", dec=',', sep=';', row.names=FALSE)