library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Deckbergen <- sunrise.set(52.20214431937526,9.16782301586909, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Deckbergen$sunrise
sunset <- Deckbergen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Deckbergen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Deckbergen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Deckbergen["timestamp"] <- align.time(Deckbergen$sunrise, 60*10)
Deckbergen <- Deckbergen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Deckbergen, aes(x=Deckbergen$timestamp)) + geom_line(aes(y=Deckbergen$sr)) + geom_line(aes(y=Deckbergen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Deckbergen 2024", x = "Datum", y = "Zeit")
pdf("Deckbergen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Deckbergen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Deckbergen["Sonnenaufgang"] <- strftime(Deckbergen$sr, format="%H:%M")
Deckbergen["Sonnenuntergang"] <- strftime(Deckbergen$ss, format="%H:%M")
write.table(Deckbergen, file="Deckbergen_SaSu.csv", dec=',', sep=';', row.names=FALSE)