library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Frankenberg_eder <- sunrise.set(51.058993,8.801379, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Frankenberg_eder$sunrise
sunset <- Frankenberg_eder$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Frankenberg_eder["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Frankenberg_eder["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Frankenberg_eder["timestamp"] <- align.time(Frankenberg_eder$sunrise, 60*10)
Frankenberg_eder <- Frankenberg_eder[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Frankenberg_eder, aes(x=Frankenberg_eder$timestamp)) + geom_line(aes(y=Frankenberg_eder$sr)) + geom_line(aes(y=Frankenberg_eder$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Frankenberg_eder 2021", x = "Datum", y = "Zeit")
pdf("Frankenberg_eder_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Frankenberg_eder_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Frankenberg_eder["Sonnenaufgang"] <- strftime(Frankenberg_eder$sr, format="%H:%M")
Frankenberg_eder["Sonnenuntergang"] <- strftime(Frankenberg_eder$ss, format="%H:%M")
write.table(Frankenberg_eder, file="Frankenberg_eder_SaSu.csv", dec=',', sep=';', row.names=FALSE)