library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
42369 <- sunrise.set(51.225697,7.195854, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 42369$sunrise
sunset <- 42369$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
42369["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
42369["ss"] <- as.POSIXct(sunset, format = "%H:%M")
42369["timestamp"] <- align.time(42369$sunrise, 60*10)
42369 <- 42369[c("timestamp", "sr", "ss")]
locsrss <- ggplot(42369, aes(x=42369$timestamp)) + geom_line(aes(y=42369$sr)) + geom_line(aes(y=42369$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 42369 2024", x = "Datum", y = "Zeit")
pdf("42369_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="42369_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
42369["Sonnenaufgang"] <- strftime(42369$sr, format="%H:%M")
42369["Sonnenuntergang"] <- strftime(42369$ss, format="%H:%M")
write.table(42369, file="42369_SaSu.csv", dec=',', sep=';', row.names=FALSE)