library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bingen <- sunrise.set(49.9667396,7.9045959999999695, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Bingen$sunrise
sunset <- Bingen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bingen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bingen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bingen["timestamp"] <- align.time(Bingen$sunrise, 60*10)
Bingen <- Bingen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bingen, aes(x=Bingen$timestamp)) + geom_line(aes(y=Bingen$sr)) + geom_line(aes(y=Bingen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bingen 2021", x = "Datum", y = "Zeit")
pdf("Bingen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bingen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bingen["Sonnenaufgang"] <- strftime(Bingen$sr, format="%H:%M")
Bingen["Sonnenuntergang"] <- strftime(Bingen$ss, format="%H:%M")
write.table(Bingen, file="Bingen_SaSu.csv", dec=',', sep=';', row.names=FALSE)