library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Aldenhoven <- sunrise.set(50.89488240000001,6.287122100000033, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Aldenhoven$sunrise
sunset <- Aldenhoven$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Aldenhoven["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Aldenhoven["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Aldenhoven["timestamp"] <- align.time(Aldenhoven$sunrise, 60*10)
Aldenhoven <- Aldenhoven[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Aldenhoven, aes(x=Aldenhoven$timestamp)) + geom_line(aes(y=Aldenhoven$sr)) + geom_line(aes(y=Aldenhoven$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Aldenhoven 2024", x = "Datum", y = "Zeit")
pdf("Aldenhoven_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Aldenhoven_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Aldenhoven["Sonnenaufgang"] <- strftime(Aldenhoven$sr, format="%H:%M")
Aldenhoven["Sonnenuntergang"] <- strftime(Aldenhoven$ss, format="%H:%M")
write.table(Aldenhoven, file="Aldenhoven_SaSu.csv", dec=',', sep=';', row.names=FALSE)