library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
88326_Aulendorf <- sunrise.set(47.9502469,9.6377896, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 88326_Aulendorf$sunrise
sunset <- 88326_Aulendorf$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
88326_Aulendorf["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
88326_Aulendorf["ss"] <- as.POSIXct(sunset, format = "%H:%M")
88326_Aulendorf["timestamp"] <- align.time(88326_Aulendorf$sunrise, 60*10)
88326_Aulendorf <- 88326_Aulendorf[c("timestamp", "sr", "ss")]
locsrss <- ggplot(88326_Aulendorf, aes(x=88326_Aulendorf$timestamp)) + geom_line(aes(y=88326_Aulendorf$sr)) + geom_line(aes(y=88326_Aulendorf$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 88326_Aulendorf 2025", x = "Datum", y = "Zeit")
pdf("88326_Aulendorf_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="88326_Aulendorf_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
88326_Aulendorf["Sonnenaufgang"] <- strftime(88326_Aulendorf$sr, format="%H:%M")
88326_Aulendorf["Sonnenuntergang"] <- strftime(88326_Aulendorf$ss, format="%H:%M")
write.table(88326_Aulendorf, file="88326_Aulendorf_SaSu.csv", dec=',', sep=';', row.names=FALSE)