library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
45768_Marl <- sunrise.set(51.6558581,7.0645794, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 45768_Marl$sunrise
sunset <- 45768_Marl$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
45768_Marl["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
45768_Marl["ss"] <- as.POSIXct(sunset, format = "%H:%M")
45768_Marl["timestamp"] <- align.time(45768_Marl$sunrise, 60*10)
45768_Marl <- 45768_Marl[c("timestamp", "sr", "ss")]
locsrss <- ggplot(45768_Marl, aes(x=45768_Marl$timestamp)) + geom_line(aes(y=45768_Marl$sr)) + geom_line(aes(y=45768_Marl$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 45768_Marl 2024", x = "Datum", y = "Zeit")
pdf("45768_Marl_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="45768_Marl_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
45768_Marl["Sonnenaufgang"] <- strftime(45768_Marl$sr, format="%H:%M")
45768_Marl["Sonnenuntergang"] <- strftime(45768_Marl$ss, format="%H:%M")
write.table(45768_Marl, file="45768_Marl_SaSu.csv", dec=',', sep=';', row.names=FALSE)