library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
21481 <- sunrise.set(53.387098,10.519811, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 21481$sunrise
sunset <- 21481$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
21481["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
21481["ss"] <- as.POSIXct(sunset, format = "%H:%M")
21481["timestamp"] <- align.time(21481$sunrise, 60*10)
21481 <- 21481[c("timestamp", "sr", "ss")]
locsrss <- ggplot(21481, aes(x=21481$timestamp)) + geom_line(aes(y=21481$sr)) + geom_line(aes(y=21481$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 21481 2024", x = "Datum", y = "Zeit")
pdf("21481_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="21481_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
21481["Sonnenaufgang"] <- strftime(21481$sr, format="%H:%M")
21481["Sonnenuntergang"] <- strftime(21481$ss, format="%H:%M")
write.table(21481, file="21481_SaSu.csv", dec=',', sep=';', row.names=FALSE)