library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Pulheim <- sunrise.set(50.9995815,6.8076853, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Pulheim$sunrise
sunset <- Pulheim$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Pulheim["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Pulheim["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Pulheim["timestamp"] <- align.time(Pulheim$sunrise, 60*10)
Pulheim <- Pulheim[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Pulheim, aes(x=Pulheim$timestamp)) + geom_line(aes(y=Pulheim$sr)) + geom_line(aes(y=Pulheim$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Pulheim 2024", x = "Datum", y = "Zeit")
pdf("Pulheim_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Pulheim_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Pulheim["Sonnenaufgang"] <- strftime(Pulheim$sr, format="%H:%M")
Pulheim["Sonnenuntergang"] <- strftime(Pulheim$ss, format="%H:%M")
write.table(Pulheim, file="Pulheim_SaSu.csv", dec=',', sep=';', row.names=FALSE)