library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
40545 <- sunrise.set(51.228404,6.754374, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 40545$sunrise
sunset <- 40545$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
40545["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
40545["ss"] <- as.POSIXct(sunset, format = "%H:%M")
40545["timestamp"] <- align.time(40545$sunrise, 60*10)
40545 <- 40545[c("timestamp", "sr", "ss")]
locsrss <- ggplot(40545, aes(x=40545$timestamp)) + geom_line(aes(y=40545$sr)) + geom_line(aes(y=40545$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 40545 2024", x = "Datum", y = "Zeit")
pdf("40545_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="40545_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
40545["Sonnenaufgang"] <- strftime(40545$sr, format="%H:%M")
40545["Sonnenuntergang"] <- strftime(40545$ss, format="%H:%M")
write.table(40545, file="40545_SaSu.csv", dec=',', sep=';', row.names=FALSE)