library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Boehl_Iggelheim <- sunrise.set(49.3666667,8.3166667, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Boehl_Iggelheim$sunrise
sunset <- Boehl_Iggelheim$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Boehl_Iggelheim["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Boehl_Iggelheim["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Boehl_Iggelheim["timestamp"] <- align.time(Boehl_Iggelheim$sunrise, 60*10)
Boehl_Iggelheim <- Boehl_Iggelheim[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Boehl_Iggelheim, aes(x=Boehl_Iggelheim$timestamp)) + geom_line(aes(y=Boehl_Iggelheim$sr)) + geom_line(aes(y=Boehl_Iggelheim$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Boehl_Iggelheim 2024", x = "Datum", y = "Zeit")
pdf("Boehl_Iggelheim_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Boehl_Iggelheim_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Boehl_Iggelheim["Sonnenaufgang"] <- strftime(Boehl_Iggelheim$sr, format="%H:%M")
Boehl_Iggelheim["Sonnenuntergang"] <- strftime(Boehl_Iggelheim$ss, format="%H:%M")
write.table(Boehl_Iggelheim, file="Boehl_Iggelheim_SaSu.csv", dec=',', sep=';', row.names=FALSE)