library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bingen_Gaulsheim <- sunrise.set(49.9635688,7.952546200000029, "2024/01/01", 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 2024", 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)