library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
44227 <- sunrise.set(51.48710197456258,7.401008605957031, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 44227$sunrise
sunset <- 44227$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
44227["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
44227["ss"] <- as.POSIXct(sunset, format = "%H:%M")
44227["timestamp"] <- align.time(44227$sunrise, 60*10)
44227 <- 44227[c("timestamp", "sr", "ss")]
locsrss <- ggplot(44227, aes(x=44227$timestamp)) + geom_line(aes(y=44227$sr)) + geom_line(aes(y=44227$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 44227 2023", x = "Datum", y = "Zeit")
pdf("44227_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="44227_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
44227["Sonnenaufgang"] <- strftime(44227$sr, format="%H:%M")
44227["Sonnenuntergang"] <- strftime(44227$ss, format="%H:%M")
write.table(44227, file="44227_SaSu.csv", dec=',', sep=';', row.names=FALSE)