library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
72760 <- sunrise.set(51.96,7.62, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 72760$sunrise
sunset <- 72760$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
72760["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
72760["ss"] <- as.POSIXct(sunset, format = "%H:%M")
72760["timestamp"] <- align.time(72760$sunrise, 60*10)
72760 <- 72760[c("timestamp", "sr", "ss")]
locsrss <- ggplot(72760, aes(x=72760$timestamp)) + geom_line(aes(y=72760$sr)) + geom_line(aes(y=72760$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 72760 2021", x = "Datum", y = "Zeit")
pdf("72760_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="72760_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
72760["Sonnenaufgang"] <- strftime(72760$sr, format="%H:%M")
72760["Sonnenuntergang"] <- strftime(72760$ss, format="%H:%M")
write.table(72760, file="72760_SaSu.csv", dec=',', sep=';', row.names=FALSE)