library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Aichhalden <- sunrise.set(48.2668385,8.402310599999964, "2025/01/01", timezone="MET", num.days=370)
sunrise <- Aichhalden$sunrise
sunset <- Aichhalden$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Aichhalden["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Aichhalden["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Aichhalden["timestamp"] <- align.time(Aichhalden$sunrise, 60*10)
Aichhalden <- Aichhalden[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Aichhalden, aes(x=Aichhalden$timestamp)) + geom_line(aes(y=Aichhalden$sr)) + geom_line(aes(y=Aichhalden$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Aichhalden 2025", x = "Datum", y = "Zeit")
pdf("Aichhalden_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Aichhalden_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Aichhalden["Sonnenaufgang"] <- strftime(Aichhalden$sr, format="%H:%M")
Aichhalden["Sonnenuntergang"] <- strftime(Aichhalden$ss, format="%H:%M")
write.table(Aichhalden, file="Aichhalden_SaSu.csv", dec=',', sep=';', row.names=FALSE)