library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
44577 <- sunrise.set(51.532905,7.343384399999991, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 44577$sunrise
sunset <- 44577$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
44577["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
44577["ss"] <- as.POSIXct(sunset, format = "%H:%M")
44577["timestamp"] <- align.time(44577$sunrise, 60*10)
44577 <- 44577[c("timestamp", "sr", "ss")]
locsrss <- ggplot(44577, aes(x=44577$timestamp)) + geom_line(aes(y=44577$sr)) + geom_line(aes(y=44577$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 44577 2024", x = "Datum", y = "Zeit")
pdf("44577_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="44577_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
44577["Sonnenaufgang"] <- strftime(44577$sr, format="%H:%M")
44577["Sonnenuntergang"] <- strftime(44577$ss, format="%H:%M")
write.table(44577, file="44577_SaSu.csv", dec=',', sep=';', row.names=FALSE)