library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
72469 <- sunrise.set(48.1623543,8.921839699999964, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 72469$sunrise
sunset <- 72469$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
72469["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
72469["ss"] <- as.POSIXct(sunset, format = "%H:%M")
72469["timestamp"] <- align.time(72469$sunrise, 60*10)
72469 <- 72469[c("timestamp", "sr", "ss")]
locsrss <- ggplot(72469, aes(x=72469$timestamp)) + geom_line(aes(y=72469$sr)) + geom_line(aes(y=72469$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 72469 2024", x = "Datum", y = "Zeit")
pdf("72469_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="72469_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
72469["Sonnenaufgang"] <- strftime(72469$sr, format="%H:%M")
72469["Sonnenuntergang"] <- strftime(72469$ss, format="%H:%M")
write.table(72469, file="72469_SaSu.csv", dec=',', sep=';', row.names=FALSE)