library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dillard_Ga <- sunrise.set(34.9700911,-83.3871006, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Dillard_Ga$sunrise
sunset <- Dillard_Ga$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dillard_Ga["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dillard_Ga["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dillard_Ga["timestamp"] <- align.time(Dillard_Ga$sunrise, 60*10)
Dillard_Ga <- Dillard_Ga[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dillard_Ga, aes(x=Dillard_Ga$timestamp)) + geom_line(aes(y=Dillard_Ga$sr)) + geom_line(aes(y=Dillard_Ga$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dillard_Ga 2024", x = "Datum", y = "Zeit")
pdf("Dillard_Ga_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dillard_Ga_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dillard_Ga["Sonnenaufgang"] <- strftime(Dillard_Ga$sr, format="%H:%M")
Dillard_Ga["Sonnenuntergang"] <- strftime(Dillard_Ga$ss, format="%H:%M")
write.table(Dillard_Ga, file="Dillard_Ga_SaSu.csv", dec=',', sep=';', row.names=FALSE)