library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bad_berleburg <- sunrise.set(51.03336250219477,8.373614961397948, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Bad_berleburg$sunrise
sunset <- Bad_berleburg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bad_berleburg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bad_berleburg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bad_berleburg["timestamp"] <- align.time(Bad_berleburg$sunrise, 60*10)
Bad_berleburg <- Bad_berleburg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bad_berleburg, aes(x=Bad_berleburg$timestamp)) + geom_line(aes(y=Bad_berleburg$sr)) + geom_line(aes(y=Bad_berleburg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bad_berleburg 2021", x = "Datum", y = "Zeit")
pdf("Bad_berleburg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bad_berleburg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bad_berleburg["Sonnenaufgang"] <- strftime(Bad_berleburg$sr, format="%H:%M")
Bad_berleburg["Sonnenuntergang"] <- strftime(Bad_berleburg$ss, format="%H:%M")
write.table(Bad_berleburg, file="Bad_berleburg_SaSu.csv", dec=',', sep=';', row.names=FALSE)