library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Arnsberg <- sunrise.set(51.4073375,8.052771, "2022/01/01", timezone="MET", num.days=370)
sunrise <- Arnsberg$sunrise
sunset <- Arnsberg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Arnsberg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Arnsberg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Arnsberg["timestamp"] <- align.time(Arnsberg$sunrise, 60*10)
Arnsberg <- Arnsberg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Arnsberg, aes(x=Arnsberg$timestamp)) + geom_line(aes(y=Arnsberg$sr)) + geom_line(aes(y=Arnsberg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Arnsberg 2022", x = "Datum", y = "Zeit")
pdf("Arnsberg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Arnsberg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Arnsberg["Sonnenaufgang"] <- strftime(Arnsberg$sr, format="%H:%M")
Arnsberg["Sonnenuntergang"] <- strftime(Arnsberg$ss, format="%H:%M")
write.table(Arnsberg, file="Arnsberg_SaSu.csv", dec=',', sep=';', row.names=FALSE)