library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Böhl_iggelheim <- sunrise.set(49.3666667,8.3166667, "2020/01/01", timezone="MET", num.days=370)
sunrise <- Böhl_iggelheim$sunrise
sunset <- Böhl_iggelheim$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Böhl_iggelheim["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Böhl_iggelheim["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Böhl_iggelheim["timestamp"] <- align.time(Böhl_iggelheim$sunrise, 60*10)
Böhl_iggelheim <- Böhl_iggelheim[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Böhl_iggelheim, aes(x=Böhl_iggelheim$timestamp)) + geom_line(aes(y=Böhl_iggelheim$sr)) + geom_line(aes(y=Böhl_iggelheim$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Böhl_iggelheim 2020", x = "Datum", y = "Zeit")
pdf("Böhl_iggelheim_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Böhl_iggelheim_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Böhl_iggelheim["Sonnenaufgang"] <- strftime(Böhl_iggelheim$sr, format="%H:%M")
Böhl_iggelheim["Sonnenuntergang"] <- strftime(Böhl_iggelheim$ss, format="%H:%M")
write.table(Böhl_iggelheim, file="Böhl_iggelheim_SaSu.csv", dec=',', sep=';', row.names=FALSE)