library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
21335 <- sunrise.set(53.2130077,10.392422699999997, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 21335$sunrise
sunset <- 21335$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
21335["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
21335["ss"] <- as.POSIXct(sunset, format = "%H:%M")
21335["timestamp"] <- align.time(21335$sunrise, 60*10)
21335 <- 21335[c("timestamp", "sr", "ss")]
locsrss <- ggplot(21335, aes(x=21335$timestamp)) + geom_line(aes(y=21335$sr)) + geom_line(aes(y=21335$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 21335 2021", x = "Datum", y = "Zeit")
pdf("21335_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="21335_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
21335["Sonnenaufgang"] <- strftime(21335$sr, format="%H:%M")
21335["Sonnenuntergang"] <- strftime(21335$ss, format="%H:%M")
write.table(21335, file="21335_SaSu.csv", dec=',', sep=';', row.names=FALSE)