library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bensheim <- sunrise.set(49.6861354,8.6187296, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bensheim$sunrise
sunset <- Bensheim$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bensheim["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bensheim["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bensheim["timestamp"] <- align.time(Bensheim$sunrise, 60*10)
Bensheim <- Bensheim[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bensheim, aes(x=Bensheim$timestamp)) + geom_line(aes(y=Bensheim$sr)) + geom_line(aes(y=Bensheim$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bensheim 2024", x = "Datum", y = "Zeit")
pdf("Bensheim_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bensheim_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bensheim["Sonnenaufgang"] <- strftime(Bensheim$sr, format="%H:%M")
Bensheim["Sonnenuntergang"] <- strftime(Bensheim$ss, format="%H:%M")
write.table(Bensheim, file="Bensheim_SaSu.csv", dec=',', sep=';', row.names=FALSE)