library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
32469 <- sunrise.set(52.409719,8.95662, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 32469$sunrise
sunset <- 32469$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
32469["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
32469["ss"] <- as.POSIXct(sunset, format = "%H:%M")
32469["timestamp"] <- align.time(32469$sunrise, 60*10)
32469 <- 32469[c("timestamp", "sr", "ss")]
locsrss <- ggplot(32469, aes(x=32469$timestamp)) + geom_line(aes(y=32469$sr)) + geom_line(aes(y=32469$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 32469 2021", x = "Datum", y = "Zeit")
pdf("32469_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="32469_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
32469["Sonnenaufgang"] <- strftime(32469$sr, format="%H:%M")
32469["Sonnenuntergang"] <- strftime(32469$ss, format="%H:%M")
write.table(32469, file="32469_SaSu.csv", dec=',', sep=';', row.names=FALSE)