library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
29323 <- sunrise.set(52.6483673,9.834646199999952, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 29323$sunrise
sunset <- 29323$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
29323["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
29323["ss"] <- as.POSIXct(sunset, format = "%H:%M")
29323["timestamp"] <- align.time(29323$sunrise, 60*10)
29323 <- 29323[c("timestamp", "sr", "ss")]
locsrss <- ggplot(29323, aes(x=29323$timestamp)) + geom_line(aes(y=29323$sr)) + geom_line(aes(y=29323$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 29323 2024", x = "Datum", y = "Zeit")
pdf("29323_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="29323_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
29323["Sonnenaufgang"] <- strftime(29323$sr, format="%H:%M")
29323["Sonnenuntergang"] <- strftime(29323$ss, format="%H:%M")
write.table(29323, file="29323_SaSu.csv", dec=',', sep=';', row.names=FALSE)