library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dillingen_Donau <- sunrise.set(48.620257578447685,10.522327423095703, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Dillingen_Donau$sunrise
sunset <- Dillingen_Donau$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dillingen_Donau["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dillingen_Donau["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dillingen_Donau["timestamp"] <- align.time(Dillingen_Donau$sunrise, 60*10)
Dillingen_Donau <- Dillingen_Donau[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dillingen_Donau, aes(x=Dillingen_Donau$timestamp)) + geom_line(aes(y=Dillingen_Donau$sr)) + geom_line(aes(y=Dillingen_Donau$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dillingen_Donau 2024", x = "Datum", y = "Zeit")
pdf("Dillingen_Donau_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dillingen_Donau_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dillingen_Donau["Sonnenaufgang"] <- strftime(Dillingen_Donau$sr, format="%H:%M")
Dillingen_Donau["Sonnenuntergang"] <- strftime(Dillingen_Donau$ss, format="%H:%M")
write.table(Dillingen_Donau, file="Dillingen_Donau_SaSu.csv", dec=',', sep=';', row.names=FALSE)