library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
16321_Bernau <- sunrise.set(52.671618074047984,13.544896147827103, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 16321_Bernau$sunrise
sunset <- 16321_Bernau$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
16321_Bernau["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
16321_Bernau["ss"] <- as.POSIXct(sunset, format = "%H:%M")
16321_Bernau["timestamp"] <- align.time(16321_Bernau$sunrise, 60*10)
16321_Bernau <- 16321_Bernau[c("timestamp", "sr", "ss")]
locsrss <- ggplot(16321_Bernau, aes(x=16321_Bernau$timestamp)) + geom_line(aes(y=16321_Bernau$sr)) + geom_line(aes(y=16321_Bernau$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 16321_Bernau 2024", x = "Datum", y = "Zeit")
pdf("16321_Bernau_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="16321_Bernau_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
16321_Bernau["Sonnenaufgang"] <- strftime(16321_Bernau$sr, format="%H:%M")
16321_Bernau["Sonnenuntergang"] <- strftime(16321_Bernau$ss, format="%H:%M")
write.table(16321_Bernau, file="16321_Bernau_SaSu.csv", dec=',', sep=';', row.names=FALSE)