library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bastia <- sunrise.set(42.697283,9.450880999999981, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bastia$sunrise
sunset <- Bastia$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bastia["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bastia["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bastia["timestamp"] <- align.time(Bastia$sunrise, 60*10)
Bastia <- Bastia[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bastia, aes(x=Bastia$timestamp)) + geom_line(aes(y=Bastia$sr)) + geom_line(aes(y=Bastia$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bastia 2024", x = "Datum", y = "Zeit")
pdf("Bastia_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bastia_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bastia["Sonnenaufgang"] <- strftime(Bastia$sr, format="%H:%M")
Bastia["Sonnenuntergang"] <- strftime(Bastia$ss, format="%H:%M")
write.table(Bastia, file="Bastia_SaSu.csv", dec=',', sep=';', row.names=FALSE)