library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
13589 <- sunrise.set(51.96,7.62, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 13589$sunrise
sunset <- 13589$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
13589["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
13589["ss"] <- as.POSIXct(sunset, format = "%H:%M")
13589["timestamp"] <- align.time(13589$sunrise, 60*10)
13589 <- 13589[c("timestamp", "sr", "ss")]
locsrss <- ggplot(13589, aes(x=13589$timestamp)) + geom_line(aes(y=13589$sr)) + geom_line(aes(y=13589$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 13589 2021", x = "Datum", y = "Zeit")
pdf("13589_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="13589_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
13589["Sonnenaufgang"] <- strftime(13589$sr, format="%H:%M")
13589["Sonnenuntergang"] <- strftime(13589$ss, format="%H:%M")
write.table(13589, file="13589_SaSu.csv", dec=',', sep=';', row.names=FALSE)