library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Frechen <- sunrise.set(50.90499654395034,6.797198779223663, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Frechen$sunrise
sunset <- Frechen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Frechen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Frechen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Frechen["timestamp"] <- align.time(Frechen$sunrise, 60*10)
Frechen <- Frechen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Frechen, aes(x=Frechen$timestamp)) + geom_line(aes(y=Frechen$sr)) + geom_line(aes(y=Frechen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Frechen 2024", x = "Datum", y = "Zeit")
pdf("Frechen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Frechen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Frechen["Sonnenaufgang"] <- strftime(Frechen$sr, format="%H:%M")
Frechen["Sonnenuntergang"] <- strftime(Frechen$ss, format="%H:%M")
write.table(Frechen, file="Frechen_SaSu.csv", dec=',', sep=';', row.names=FALSE)