library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Remchingen <- sunrise.set(48.9517157,8.574212799999941, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Remchingen$sunrise
sunset <- Remchingen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Remchingen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Remchingen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Remchingen["timestamp"] <- align.time(Remchingen$sunrise, 60*10)
Remchingen <- Remchingen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Remchingen, aes(x=Remchingen$timestamp)) + geom_line(aes(y=Remchingen$sr)) + geom_line(aes(y=Remchingen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Remchingen 2024", x = "Datum", y = "Zeit")
pdf("Remchingen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Remchingen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Remchingen["Sonnenaufgang"] <- strftime(Remchingen$sr, format="%H:%M")
Remchingen["Sonnenuntergang"] <- strftime(Remchingen$ss, format="%H:%M")
write.table(Remchingen, file="Remchingen_SaSu.csv", dec=',', sep=';', row.names=FALSE)