library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Elstra <- sunrise.set(51.22312174866,14.152223699335309, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Elstra$sunrise
sunset <- Elstra$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Elstra["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Elstra["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Elstra["timestamp"] <- align.time(Elstra$sunrise, 60*10)
Elstra <- Elstra[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Elstra, aes(x=Elstra$timestamp)) + geom_line(aes(y=Elstra$sr)) + geom_line(aes(y=Elstra$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Elstra 2024", x = "Datum", y = "Zeit")
pdf("Elstra_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Elstra_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Elstra["Sonnenaufgang"] <- strftime(Elstra$sr, format="%H:%M")
Elstra["Sonnenuntergang"] <- strftime(Elstra$ss, format="%H:%M")
write.table(Elstra, file="Elstra_SaSu.csv", dec=',', sep=';', row.names=FALSE)