library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Geisenheim <- sunrise.set(49.9864335,7.9666942, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Geisenheim$sunrise
sunset <- Geisenheim$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Geisenheim["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Geisenheim["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Geisenheim["timestamp"] <- align.time(Geisenheim$sunrise, 60*10)
Geisenheim <- Geisenheim[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Geisenheim, aes(x=Geisenheim$timestamp)) + geom_line(aes(y=Geisenheim$sr)) + geom_line(aes(y=Geisenheim$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Geisenheim 2021", x = "Datum", y = "Zeit")
pdf("Geisenheim_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Geisenheim_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Geisenheim["Sonnenaufgang"] <- strftime(Geisenheim$sr, format="%H:%M")
Geisenheim["Sonnenuntergang"] <- strftime(Geisenheim$ss, format="%H:%M")
write.table(Geisenheim, file="Geisenheim_SaSu.csv", dec=',', sep=';', row.names=FALSE)