library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Edne <- sunrise.set(48.3422357,9.9136251, "2020/01/01", timezone="MET", num.days=370)
sunrise <- Edne$sunrise
sunset <- Edne$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Edne["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Edne["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Edne["timestamp"] <- align.time(Edne$sunrise, 60*10)
Edne <- Edne[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Edne, aes(x=Edne$timestamp)) + geom_line(aes(y=Edne$sr)) + geom_line(aes(y=Edne$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Edne 2020", x = "Datum", y = "Zeit")
pdf("Edne_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Edne_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Edne["Sonnenaufgang"] <- strftime(Edne$sr, format="%H:%M")
Edne["Sonnenuntergang"] <- strftime(Edne$ss, format="%H:%M")
write.table(Edne, file="Edne_SaSu.csv", dec=',', sep=';', row.names=FALSE)