library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Engenhahn <- sunrise.set(50.16530528307343,8.239606962890662, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Engenhahn$sunrise
sunset <- Engenhahn$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Engenhahn["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Engenhahn["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Engenhahn["timestamp"] <- align.time(Engenhahn$sunrise, 60*10)
Engenhahn <- Engenhahn[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Engenhahn, aes(x=Engenhahn$timestamp)) + geom_line(aes(y=Engenhahn$sr)) + geom_line(aes(y=Engenhahn$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Engenhahn 2021", x = "Datum", y = "Zeit")
pdf("Engenhahn_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Engenhahn_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Engenhahn["Sonnenaufgang"] <- strftime(Engenhahn$sr, format="%H:%M")
Engenhahn["Sonnenuntergang"] <- strftime(Engenhahn$ss, format="%H:%M")
write.table(Engenhahn, file="Engenhahn_SaSu.csv", dec=',', sep=';', row.names=FALSE)