library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
82481 <- sunrise.set(47.462556,11.3006553, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 82481$sunrise
sunset <- 82481$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
82481["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
82481["ss"] <- as.POSIXct(sunset, format = "%H:%M")
82481["timestamp"] <- align.time(82481$sunrise, 60*10)
82481 <- 82481[c("timestamp", "sr", "ss")]
locsrss <- ggplot(82481, aes(x=82481$timestamp)) + geom_line(aes(y=82481$sr)) + geom_line(aes(y=82481$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 82481 2024", x = "Datum", y = "Zeit")
pdf("82481_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="82481_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
82481["Sonnenaufgang"] <- strftime(82481$sr, format="%H:%M")
82481["Sonnenuntergang"] <- strftime(82481$ss, format="%H:%M")
write.table(82481, file="82481_SaSu.csv", dec=',', sep=';', row.names=FALSE)