library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
23689_Luschendorf <- sunrise.set(54.000181,10.7215049, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 23689_Luschendorf$sunrise
sunset <- 23689_Luschendorf$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
23689_Luschendorf["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
23689_Luschendorf["ss"] <- as.POSIXct(sunset, format = "%H:%M")
23689_Luschendorf["timestamp"] <- align.time(23689_Luschendorf$sunrise, 60*10)
23689_Luschendorf <- 23689_Luschendorf[c("timestamp", "sr", "ss")]
locsrss <- ggplot(23689_Luschendorf, aes(x=23689_Luschendorf$timestamp)) + geom_line(aes(y=23689_Luschendorf$sr)) + geom_line(aes(y=23689_Luschendorf$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 23689_Luschendorf 2024", x = "Datum", y = "Zeit")
pdf("23689_Luschendorf_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="23689_Luschendorf_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
23689_Luschendorf["Sonnenaufgang"] <- strftime(23689_Luschendorf$sr, format="%H:%M")
23689_Luschendorf["Sonnenuntergang"] <- strftime(23689_Luschendorf$ss, format="%H:%M")
write.table(23689_Luschendorf, file="23689_Luschendorf_SaSu.csv", dec=',', sep=';', row.names=FALSE)