library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
24214 <- sunrise.set(54.3558326,9.9560452, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 24214$sunrise
sunset <- 24214$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
24214["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
24214["ss"] <- as.POSIXct(sunset, format = "%H:%M")
24214["timestamp"] <- align.time(24214$sunrise, 60*10)
24214 <- 24214[c("timestamp", "sr", "ss")]
locsrss <- ggplot(24214, aes(x=24214$timestamp)) + geom_line(aes(y=24214$sr)) + geom_line(aes(y=24214$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 24214 2024", x = "Datum", y = "Zeit")
pdf("24214_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="24214_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
24214["Sonnenaufgang"] <- strftime(24214$sr, format="%H:%M")
24214["Sonnenuntergang"] <- strftime(24214$ss, format="%H:%M")
write.table(24214, file="24214_SaSu.csv", dec=',', sep=';', row.names=FALSE)