library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bastheim <- sunrise.set(50.4015347,10.2036886, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bastheim$sunrise
sunset <- Bastheim$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bastheim["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bastheim["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bastheim["timestamp"] <- align.time(Bastheim$sunrise, 60*10)
Bastheim <- Bastheim[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bastheim, aes(x=Bastheim$timestamp)) + geom_line(aes(y=Bastheim$sr)) + geom_line(aes(y=Bastheim$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bastheim 2024", x = "Datum", y = "Zeit")
pdf("Bastheim_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bastheim_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bastheim["Sonnenaufgang"] <- strftime(Bastheim$sr, format="%H:%M")
Bastheim["Sonnenuntergang"] <- strftime(Bastheim$ss, format="%H:%M")
write.table(Bastheim, file="Bastheim_SaSu.csv", dec=',', sep=';', row.names=FALSE)