library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
47057 <- sunrise.set(51.42666801389438,6.790409088134766, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 47057$sunrise
sunset <- 47057$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
47057["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
47057["ss"] <- as.POSIXct(sunset, format = "%H:%M")
47057["timestamp"] <- align.time(47057$sunrise, 60*10)
47057 <- 47057[c("timestamp", "sr", "ss")]
locsrss <- ggplot(47057, aes(x=47057$timestamp)) + geom_line(aes(y=47057$sr)) + geom_line(aes(y=47057$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 47057 2024", x = "Datum", y = "Zeit")
pdf("47057_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="47057_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
47057["Sonnenaufgang"] <- strftime(47057$sr, format="%H:%M")
47057["Sonnenuntergang"] <- strftime(47057$ss, format="%H:%M")
write.table(47057, file="47057_SaSu.csv", dec=',', sep=';', row.names=FALSE)