library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dippach_Gare <- sunrise.set(49.576269,5.991105, "2022/01/01", timezone="MET", num.days=370)
sunrise <- Dippach_Gare$sunrise
sunset <- Dippach_Gare$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dippach_Gare["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dippach_Gare["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dippach_Gare["timestamp"] <- align.time(Dippach_Gare$sunrise, 60*10)
Dippach_Gare <- Dippach_Gare[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dippach_Gare, aes(x=Dippach_Gare$timestamp)) + geom_line(aes(y=Dippach_Gare$sr)) + geom_line(aes(y=Dippach_Gare$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dippach_Gare 2022", x = "Datum", y = "Zeit")
pdf("Dippach_Gare_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dippach_Gare_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dippach_Gare["Sonnenaufgang"] <- strftime(Dippach_Gare$sr, format="%H:%M")
Dippach_Gare["Sonnenuntergang"] <- strftime(Dippach_Gare$ss, format="%H:%M")
write.table(Dippach_Gare, file="Dippach_Gare_SaSu.csv", dec=',', sep=';', row.names=FALSE)