library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
79618_rheinfelden <- sunrise.set(47.566659,7.797717, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 79618_rheinfelden$sunrise
sunset <- 79618_rheinfelden$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
79618_rheinfelden["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
79618_rheinfelden["ss"] <- as.POSIXct(sunset, format = "%H:%M")
79618_rheinfelden["timestamp"] <- align.time(79618_rheinfelden$sunrise, 60*10)
79618_rheinfelden <- 79618_rheinfelden[c("timestamp", "sr", "ss")]
locsrss <- ggplot(79618_rheinfelden, aes(x=79618_rheinfelden$timestamp)) + geom_line(aes(y=79618_rheinfelden$sr)) + geom_line(aes(y=79618_rheinfelden$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 79618_rheinfelden 2023", x = "Datum", y = "Zeit")
pdf("79618_rheinfelden_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="79618_rheinfelden_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
79618_rheinfelden["Sonnenaufgang"] <- strftime(79618_rheinfelden$sr, format="%H:%M")
79618_rheinfelden["Sonnenuntergang"] <- strftime(79618_rheinfelden$ss, format="%H:%M")
write.table(79618_rheinfelden, file="79618_rheinfelden_SaSu.csv", dec=',', sep=';', row.names=FALSE)