library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
95463 <- sunrise.set(50.0045679,11.603754200000026, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 95463$sunrise
sunset <- 95463$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
95463["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
95463["ss"] <- as.POSIXct(sunset, format = "%H:%M")
95463["timestamp"] <- align.time(95463$sunrise, 60*10)
95463 <- 95463[c("timestamp", "sr", "ss")]
locsrss <- ggplot(95463, aes(x=95463$timestamp)) + geom_line(aes(y=95463$sr)) + geom_line(aes(y=95463$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 95463 2021", x = "Datum", y = "Zeit")
pdf("95463_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="95463_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
95463["Sonnenaufgang"] <- strftime(95463$sr, format="%H:%M")
95463["Sonnenuntergang"] <- strftime(95463$ss, format="%H:%M")
write.table(95463, file="95463_SaSu.csv", dec=',', sep=';', row.names=FALSE)