library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
42899 <- sunrise.set(51.212907,7.2325965, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 42899$sunrise
sunset <- 42899$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
42899["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
42899["ss"] <- as.POSIXct(sunset, format = "%H:%M")
42899["timestamp"] <- align.time(42899$sunrise, 60*10)
42899 <- 42899[c("timestamp", "sr", "ss")]
locsrss <- ggplot(42899, aes(x=42899$timestamp)) + geom_line(aes(y=42899$sr)) + geom_line(aes(y=42899$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 42899 2024", x = "Datum", y = "Zeit")
pdf("42899_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="42899_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
42899["Sonnenaufgang"] <- strftime(42899$sr, format="%H:%M")
42899["Sonnenuntergang"] <- strftime(42899$ss, format="%H:%M")
write.table(42899, file="42899_SaSu.csv", dec=',', sep=';', row.names=FALSE)