library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Egelsbach <- sunrise.set(49.9663895,8.663315799999964, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Egelsbach$sunrise
sunset <- Egelsbach$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Egelsbach["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Egelsbach["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Egelsbach["timestamp"] <- align.time(Egelsbach$sunrise, 60*10)
Egelsbach <- Egelsbach[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Egelsbach, aes(x=Egelsbach$timestamp)) + geom_line(aes(y=Egelsbach$sr)) + geom_line(aes(y=Egelsbach$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Egelsbach 2024", x = "Datum", y = "Zeit")
pdf("Egelsbach_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Egelsbach_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Egelsbach["Sonnenaufgang"] <- strftime(Egelsbach$sr, format="%H:%M")
Egelsbach["Sonnenuntergang"] <- strftime(Egelsbach$ss, format="%H:%M")
write.table(Egelsbach, file="Egelsbach_SaSu.csv", dec=',', sep=';', row.names=FALSE)