library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Coffeyville <- sunrise.set(37.0373005,-95.6163665, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Coffeyville$sunrise
sunset <- Coffeyville$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Coffeyville["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Coffeyville["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Coffeyville["timestamp"] <- align.time(Coffeyville$sunrise, 60*10)
Coffeyville <- Coffeyville[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Coffeyville, aes(x=Coffeyville$timestamp)) + geom_line(aes(y=Coffeyville$sr)) + geom_line(aes(y=Coffeyville$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Coffeyville 2024", x = "Datum", y = "Zeit")
pdf("Coffeyville_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Coffeyville_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Coffeyville["Sonnenaufgang"] <- strftime(Coffeyville$sr, format="%H:%M")
Coffeyville["Sonnenuntergang"] <- strftime(Coffeyville$ss, format="%H:%M")
write.table(Coffeyville, file="Coffeyville_SaSu.csv", dec=',', sep=';', row.names=FALSE)