library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
44309 <- sunrise.set(51.5305901,7.5458916000000045, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 44309$sunrise
sunset <- 44309$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
44309["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
44309["ss"] <- as.POSIXct(sunset, format = "%H:%M")
44309["timestamp"] <- align.time(44309$sunrise, 60*10)
44309 <- 44309[c("timestamp", "sr", "ss")]
locsrss <- ggplot(44309, aes(x=44309$timestamp)) + geom_line(aes(y=44309$sr)) + geom_line(aes(y=44309$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 44309 2024", x = "Datum", y = "Zeit")
pdf("44309_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="44309_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
44309["Sonnenaufgang"] <- strftime(44309$sr, format="%H:%M")
44309["Sonnenuntergang"] <- strftime(44309$ss, format="%H:%M")
write.table(44309, file="44309_SaSu.csv", dec=',', sep=';', row.names=FALSE)