library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bonn_mehlem <- sunrise.set(50.660833,7.191944000000035, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Bonn_mehlem$sunrise
sunset <- Bonn_mehlem$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bonn_mehlem["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bonn_mehlem["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bonn_mehlem["timestamp"] <- align.time(Bonn_mehlem$sunrise, 60*10)
Bonn_mehlem <- Bonn_mehlem[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bonn_mehlem, aes(x=Bonn_mehlem$timestamp)) + geom_line(aes(y=Bonn_mehlem$sr)) + geom_line(aes(y=Bonn_mehlem$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bonn_mehlem 2023", x = "Datum", y = "Zeit")
pdf("Bonn_mehlem_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bonn_mehlem_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bonn_mehlem["Sonnenaufgang"] <- strftime(Bonn_mehlem$sr, format="%H:%M")
Bonn_mehlem["Sonnenuntergang"] <- strftime(Bonn_mehlem$ss, format="%H:%M")
write.table(Bonn_mehlem, file="Bonn_mehlem_SaSu.csv", dec=',', sep=';', row.names=FALSE)