library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bingen_gaulsheim <- sunrise.set(49.9635688,7.952546200000029, "2022/01/01", timezone="MET", num.days=370)
sunrise <- Bingen_gaulsheim$sunrise
sunset <- Bingen_gaulsheim$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bingen_gaulsheim["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bingen_gaulsheim["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bingen_gaulsheim["timestamp"] <- align.time(Bingen_gaulsheim$sunrise, 60*10)
Bingen_gaulsheim <- Bingen_gaulsheim[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bingen_gaulsheim, aes(x=Bingen_gaulsheim$timestamp)) + geom_line(aes(y=Bingen_gaulsheim$sr)) + geom_line(aes(y=Bingen_gaulsheim$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bingen_gaulsheim 2022", x = "Datum", y = "Zeit")
pdf("Bingen_gaulsheim_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bingen_gaulsheim_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bingen_gaulsheim["Sonnenaufgang"] <- strftime(Bingen_gaulsheim$sr, format="%H:%M")
Bingen_gaulsheim["Sonnenuntergang"] <- strftime(Bingen_gaulsheim$ss, format="%H:%M")
write.table(Bingen_gaulsheim, file="Bingen_gaulsheim_SaSu.csv", dec=',', sep=';', row.names=FALSE)