library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
66287 <- sunrise.set(49.32445068824351,7.047128677368164, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 66287$sunrise
sunset <- 66287$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
66287["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
66287["ss"] <- as.POSIXct(sunset, format = "%H:%M")
66287["timestamp"] <- align.time(66287$sunrise, 60*10)
66287 <- 66287[c("timestamp", "sr", "ss")]
locsrss <- ggplot(66287, aes(x=66287$timestamp)) + geom_line(aes(y=66287$sr)) + geom_line(aes(y=66287$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 66287 2024", x = "Datum", y = "Zeit")
pdf("66287_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="66287_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
66287["Sonnenaufgang"] <- strftime(66287$sr, format="%H:%M")
66287["Sonnenuntergang"] <- strftime(66287$ss, format="%H:%M")
write.table(66287, file="66287_SaSu.csv", dec=',', sep=';', row.names=FALSE)