library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
52499 <- sunrise.set(50.915332612704454,6.1796454482839325, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 52499$sunrise
sunset <- 52499$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
52499["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
52499["ss"] <- as.POSIXct(sunset, format = "%H:%M")
52499["timestamp"] <- align.time(52499$sunrise, 60*10)
52499 <- 52499[c("timestamp", "sr", "ss")]
locsrss <- ggplot(52499, aes(x=52499$timestamp)) + geom_line(aes(y=52499$sr)) + geom_line(aes(y=52499$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 52499 2025", x = "Datum", y = "Zeit")
pdf("52499_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="52499_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
52499["Sonnenaufgang"] <- strftime(52499$sr, format="%H:%M")
52499["Sonnenuntergang"] <- strftime(52499$ss, format="%H:%M")
write.table(52499, file="52499_SaSu.csv", dec=',', sep=';', row.names=FALSE)