library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Durmersheim <- sunrise.set(48.9345829,8.2733132, "2022/01/01", timezone="MET", num.days=370)
sunrise <- Durmersheim$sunrise
sunset <- Durmersheim$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Durmersheim["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Durmersheim["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Durmersheim["timestamp"] <- align.time(Durmersheim$sunrise, 60*10)
Durmersheim <- Durmersheim[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Durmersheim, aes(x=Durmersheim$timestamp)) + geom_line(aes(y=Durmersheim$sr)) + geom_line(aes(y=Durmersheim$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Durmersheim 2022", x = "Datum", y = "Zeit")
pdf("Durmersheim_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Durmersheim_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Durmersheim["Sonnenaufgang"] <- strftime(Durmersheim$sr, format="%H:%M")
Durmersheim["Sonnenuntergang"] <- strftime(Durmersheim$ss, format="%H:%M")
write.table(Durmersheim, file="Durmersheim_SaSu.csv", dec=',', sep=';', row.names=FALSE)