library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
41836 <- sunrise.set(51.1012901,6.1555425, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 41836$sunrise
sunset <- 41836$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
41836["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
41836["ss"] <- as.POSIXct(sunset, format = "%H:%M")
41836["timestamp"] <- align.time(41836$sunrise, 60*10)
41836 <- 41836[c("timestamp", "sr", "ss")]
locsrss <- ggplot(41836, aes(x=41836$timestamp)) + geom_line(aes(y=41836$sr)) + geom_line(aes(y=41836$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 41836 2024", x = "Datum", y = "Zeit")
pdf("41836_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="41836_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
41836["Sonnenaufgang"] <- strftime(41836$sr, format="%H:%M")
41836["Sonnenuntergang"] <- strftime(41836$ss, format="%H:%M")
write.table(41836, file="41836_SaSu.csv", dec=',', sep=';', row.names=FALSE)