library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Altenplos <- sunrise.set(49.98158510403259,11.506805419921875, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Altenplos$sunrise
sunset <- Altenplos$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Altenplos["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Altenplos["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Altenplos["timestamp"] <- align.time(Altenplos$sunrise, 60*10)
Altenplos <- Altenplos[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Altenplos, aes(x=Altenplos$timestamp)) + geom_line(aes(y=Altenplos$sr)) + geom_line(aes(y=Altenplos$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Altenplos 2024", x = "Datum", y = "Zeit")
pdf("Altenplos_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Altenplos_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Altenplos["Sonnenaufgang"] <- strftime(Altenplos$sr, format="%H:%M")
Altenplos["Sonnenuntergang"] <- strftime(Altenplos$ss, format="%H:%M")
write.table(Altenplos, file="Altenplos_SaSu.csv", dec=',', sep=';', row.names=FALSE)