library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
23627 <- sunrise.set(53.82274641107382,10.727720260620117, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 23627$sunrise
sunset <- 23627$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
23627["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
23627["ss"] <- as.POSIXct(sunset, format = "%H:%M")
23627["timestamp"] <- align.time(23627$sunrise, 60*10)
23627 <- 23627[c("timestamp", "sr", "ss")]
locsrss <- ggplot(23627, aes(x=23627$timestamp)) + geom_line(aes(y=23627$sr)) + geom_line(aes(y=23627$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 23627 2025", x = "Datum", y = "Zeit")
pdf("23627_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="23627_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
23627["Sonnenaufgang"] <- strftime(23627$sr, format="%H:%M")
23627["Sonnenuntergang"] <- strftime(23627$ss, format="%H:%M")
write.table(23627, file="23627_SaSu.csv", dec=',', sep=';', row.names=FALSE)