library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
64283 <- sunrise.set(49.87223605213625,8.650016784667968, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 64283$sunrise
sunset <- 64283$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
64283["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
64283["ss"] <- as.POSIXct(sunset, format = "%H:%M")
64283["timestamp"] <- align.time(64283$sunrise, 60*10)
64283 <- 64283[c("timestamp", "sr", "ss")]
locsrss <- ggplot(64283, aes(x=64283$timestamp)) + geom_line(aes(y=64283$sr)) + geom_line(aes(y=64283$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 64283 2025", x = "Datum", y = "Zeit")
pdf("64283_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="64283_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
64283["Sonnenaufgang"] <- strftime(64283$sr, format="%H:%M")
64283["Sonnenuntergang"] <- strftime(64283$ss, format="%H:%M")
write.table(64283, file="64283_SaSu.csv", dec=',', sep=';', row.names=FALSE)