library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Edinburgh <- sunrise.set(55.953252,-3.188267, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Edinburgh$sunrise
sunset <- Edinburgh$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Edinburgh["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Edinburgh["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Edinburgh["timestamp"] <- align.time(Edinburgh$sunrise, 60*10)
Edinburgh <- Edinburgh[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Edinburgh, aes(x=Edinburgh$timestamp)) + geom_line(aes(y=Edinburgh$sr)) + geom_line(aes(y=Edinburgh$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Edinburgh 2024", x = "Datum", y = "Zeit")
pdf("Edinburgh_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Edinburgh_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Edinburgh["Sonnenaufgang"] <- strftime(Edinburgh$sr, format="%H:%M")
Edinburgh["Sonnenuntergang"] <- strftime(Edinburgh$ss, format="%H:%M")
write.table(Edinburgh, file="Edinburgh_SaSu.csv", dec=',', sep=';', row.names=FALSE)