library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
65931 <- sunrise.set(50.0940777,8.49713369999995, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 65931$sunrise
sunset <- 65931$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
65931["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
65931["ss"] <- as.POSIXct(sunset, format = "%H:%M")
65931["timestamp"] <- align.time(65931$sunrise, 60*10)
65931 <- 65931[c("timestamp", "sr", "ss")]
locsrss <- ggplot(65931, aes(x=65931$timestamp)) + geom_line(aes(y=65931$sr)) + geom_line(aes(y=65931$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 65931 2024", x = "Datum", y = "Zeit")
pdf("65931_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="65931_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
65931["Sonnenaufgang"] <- strftime(65931$sr, format="%H:%M")
65931["Sonnenuntergang"] <- strftime(65931$ss, format="%H:%M")
write.table(65931, file="65931_SaSu.csv", dec=',', sep=';', row.names=FALSE)