library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Stonehenge <- sunrise.set(42.8583925,-70.9300376, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Stonehenge$sunrise
sunset <- Stonehenge$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Stonehenge["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Stonehenge["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Stonehenge["timestamp"] <- align.time(Stonehenge$sunrise, 60*10)
Stonehenge <- Stonehenge[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Stonehenge, aes(x=Stonehenge$timestamp)) + geom_line(aes(y=Stonehenge$sr)) + geom_line(aes(y=Stonehenge$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Stonehenge 2024", x = "Datum", y = "Zeit")
pdf("Stonehenge_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Stonehenge_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Stonehenge["Sonnenaufgang"] <- strftime(Stonehenge$sr, format="%H:%M")
Stonehenge["Sonnenuntergang"] <- strftime(Stonehenge$ss, format="%H:%M")
write.table(Stonehenge, file="Stonehenge_SaSu.csv", dec=',', sep=';', row.names=FALSE)