library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
4513 <- sunrise.set(47.2246166,7.5179019, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 4513$sunrise
sunset <- 4513$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
4513["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
4513["ss"] <- as.POSIXct(sunset, format = "%H:%M")
4513["timestamp"] <- align.time(4513$sunrise, 60*10)
4513 <- 4513[c("timestamp", "sr", "ss")]
locsrss <- ggplot(4513, aes(x=4513$timestamp)) + geom_line(aes(y=4513$sr)) + geom_line(aes(y=4513$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 4513 2024", x = "Datum", y = "Zeit")
pdf("4513_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="4513_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
4513["Sonnenaufgang"] <- strftime(4513$sr, format="%H:%M")
4513["Sonnenuntergang"] <- strftime(4513$ss, format="%H:%M")
write.table(4513, file="4513_SaSu.csv", dec=',', sep=';', row.names=FALSE)