library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bempflingen <- sunrise.set(48.5734809,9.26550880000002, "2025/01/01", timezone="MET", num.days=370)
sunrise <- Bempflingen$sunrise
sunset <- Bempflingen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bempflingen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bempflingen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bempflingen["timestamp"] <- align.time(Bempflingen$sunrise, 60*10)
Bempflingen <- Bempflingen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bempflingen, aes(x=Bempflingen$timestamp)) + geom_line(aes(y=Bempflingen$sr)) + geom_line(aes(y=Bempflingen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bempflingen 2025", x = "Datum", y = "Zeit")
pdf("Bempflingen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bempflingen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bempflingen["Sonnenaufgang"] <- strftime(Bempflingen$sr, format="%H:%M")
Bempflingen["Sonnenuntergang"] <- strftime(Bempflingen$ss, format="%H:%M")
write.table(Bempflingen, file="Bempflingen_SaSu.csv", dec=',', sep=';', row.names=FALSE)