library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
72805 <- sunrise.set(48.41692339999999,9.256569500000069, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 72805$sunrise
sunset <- 72805$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
72805["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
72805["ss"] <- as.POSIXct(sunset, format = "%H:%M")
72805["timestamp"] <- align.time(72805$sunrise, 60*10)
72805 <- 72805[c("timestamp", "sr", "ss")]
locsrss <- ggplot(72805, aes(x=72805$timestamp)) + geom_line(aes(y=72805$sr)) + geom_line(aes(y=72805$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 72805 2025", x = "Datum", y = "Zeit")
pdf("72805_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="72805_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
72805["Sonnenaufgang"] <- strftime(72805$sr, format="%H:%M")
72805["Sonnenuntergang"] <- strftime(72805$ss, format="%H:%M")
write.table(72805, file="72805_SaSu.csv", dec=',', sep=';', row.names=FALSE)