library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
71394 <- sunrise.set(48.791291,9.330648, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 71394$sunrise
sunset <- 71394$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
71394["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
71394["ss"] <- as.POSIXct(sunset, format = "%H:%M")
71394["timestamp"] <- align.time(71394$sunrise, 60*10)
71394 <- 71394[c("timestamp", "sr", "ss")]
locsrss <- ggplot(71394, aes(x=71394$timestamp)) + geom_line(aes(y=71394$sr)) + geom_line(aes(y=71394$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 71394 2024", x = "Datum", y = "Zeit")
pdf("71394_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="71394_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
71394["Sonnenaufgang"] <- strftime(71394$sr, format="%H:%M")
71394["Sonnenuntergang"] <- strftime(71394$ss, format="%H:%M")
write.table(71394, file="71394_SaSu.csv", dec=',', sep=';', row.names=FALSE)