library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bonn <- sunrise.set(50.73726994860248,7.061977386474609, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bonn$sunrise
sunset <- Bonn$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bonn["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bonn["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bonn["timestamp"] <- align.time(Bonn$sunrise, 60*10)
Bonn <- Bonn[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bonn, aes(x=Bonn$timestamp)) + geom_line(aes(y=Bonn$sr)) + geom_line(aes(y=Bonn$ss)) + labs(title = " Sunrise/Sunset - Bonn 2024", x = "Date", y = "Time")
pdf("Bonn_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bonn_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bonn["Sunrise"] <- strftime(Bonn$sr, format="%H:%M")
Bonn["Sunset"] <- strftime(Bonn$ss, format="%H:%M")
write.table(Bonn, file="Bonn_SaSu.csv", dec=',', sep=';', row.names=FALSE)