library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
94034 <- sunrise.set(48.58725391690632,13.482858612692667, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 94034$sunrise
sunset <- 94034$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
94034["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
94034["ss"] <- as.POSIXct(sunset, format = "%H:%M")
94034["timestamp"] <- align.time(94034$sunrise, 60*10)
94034 <- 94034[c("timestamp", "sr", "ss")]
locsrss <- ggplot(94034, aes(x=94034$timestamp)) + geom_line(aes(y=94034$sr)) + geom_line(aes(y=94034$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 94034 2024", x = "Datum", y = "Zeit")
pdf("94034_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="94034_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
94034["Sonnenaufgang"] <- strftime(94034$sr, format="%H:%M")
94034["Sonnenuntergang"] <- strftime(94034$ss, format="%H:%M")
write.table(94034, file="94034_SaSu.csv", dec=',', sep=';', row.names=FALSE)