library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
04249 <- sunrise.set(51.2789889,12.2965373, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 04249$sunrise
sunset <- 04249$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
04249["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
04249["ss"] <- as.POSIXct(sunset, format = "%H:%M")
04249["timestamp"] <- align.time(04249$sunrise, 60*10)
04249 <- 04249[c("timestamp", "sr", "ss")]
locsrss <- ggplot(04249, aes(x=04249$timestamp)) + geom_line(aes(y=04249$sr)) + geom_line(aes(y=04249$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 04249 2024", x = "Datum", y = "Zeit")
pdf("04249_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="04249_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
04249["Sonnenaufgang"] <- strftime(04249$sr, format="%H:%M")
04249["Sonnenuntergang"] <- strftime(04249$ss, format="%H:%M")
write.table(04249, file="04249_SaSu.csv", dec=',', sep=';', row.names=FALSE)