library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Celle <- sunrise.set(52.6168107,10.0631936, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Celle$sunrise
sunset <- Celle$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Celle["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Celle["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Celle["timestamp"] <- align.time(Celle$sunrise, 60*10)
Celle <- Celle[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Celle, aes(x=Celle$timestamp)) + geom_line(aes(y=Celle$sr)) + geom_line(aes(y=Celle$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Celle 2024", x = "Datum", y = "Zeit")
pdf("Celle_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Celle_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Celle["Sonnenaufgang"] <- strftime(Celle$sr, format="%H:%M")
Celle["Sonnenuntergang"] <- strftime(Celle$ss, format="%H:%M")
write.table(Celle, file="Celle_SaSu.csv", dec=',', sep=';', row.names=FALSE)