library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Allendorf_Eder <- sunrise.set(51.03333,8.683332999999948, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Allendorf_Eder$sunrise
sunset <- Allendorf_Eder$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Allendorf_Eder["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Allendorf_Eder["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Allendorf_Eder["timestamp"] <- align.time(Allendorf_Eder$sunrise, 60*10)
Allendorf_Eder <- Allendorf_Eder[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Allendorf_Eder, aes(x=Allendorf_Eder$timestamp)) + geom_line(aes(y=Allendorf_Eder$sr)) + geom_line(aes(y=Allendorf_Eder$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Allendorf_Eder 2024", x = "Datum", y = "Zeit")
pdf("Allendorf_Eder_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Allendorf_Eder_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Allendorf_Eder["Sonnenaufgang"] <- strftime(Allendorf_Eder$sr, format="%H:%M")
Allendorf_Eder["Sonnenuntergang"] <- strftime(Allendorf_Eder$ss, format="%H:%M")
write.table(Allendorf_Eder, file="Allendorf_Eder_SaSu.csv", dec=',', sep=';', row.names=FALSE)