library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
44791 <- sunrise.set(51.489954,7.250107, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 44791$sunrise
sunset <- 44791$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
44791["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
44791["ss"] <- as.POSIXct(sunset, format = "%H:%M")
44791["timestamp"] <- align.time(44791$sunrise, 60*10)
44791 <- 44791[c("timestamp", "sr", "ss")]
locsrss <- ggplot(44791, aes(x=44791$timestamp)) + geom_line(aes(y=44791$sr)) + geom_line(aes(y=44791$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 44791 2023", x = "Datum", y = "Zeit")
pdf("44791_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="44791_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
44791["Sonnenaufgang"] <- strftime(44791$sr, format="%H:%M")
44791["Sonnenuntergang"] <- strftime(44791$ss, format="%H:%M")
write.table(44791, file="44791_SaSu.csv", dec=',', sep=';', row.names=FALSE)