library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
54296 <- sunrise.set(49.723539472374206,6.689456839209015, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 54296$sunrise
sunset <- 54296$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
54296["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
54296["ss"] <- as.POSIXct(sunset, format = "%H:%M")
54296["timestamp"] <- align.time(54296$sunrise, 60*10)
54296 <- 54296[c("timestamp", "sr", "ss")]
locsrss <- ggplot(54296, aes(x=54296$timestamp)) + geom_line(aes(y=54296$sr)) + geom_line(aes(y=54296$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 54296 2021", x = "Datum", y = "Zeit")
pdf("54296_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="54296_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
54296["Sonnenaufgang"] <- strftime(54296$sr, format="%H:%M")
54296["Sonnenuntergang"] <- strftime(54296$ss, format="%H:%M")
write.table(54296, file="54296_SaSu.csv", dec=',', sep=';', row.names=FALSE)