library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
47906_DE <- sunrise.set(51.3704929,6.4273577, "2022/01/01", timezone="MET", num.days=370)
sunrise <- 47906_DE$sunrise
sunset <- 47906_DE$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
47906_DE["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
47906_DE["ss"] <- as.POSIXct(sunset, format = "%H:%M")
47906_DE["timestamp"] <- align.time(47906_DE$sunrise, 60*10)
47906_DE <- 47906_DE[c("timestamp", "sr", "ss")]
locsrss <- ggplot(47906_DE, aes(x=47906_DE$timestamp)) + geom_line(aes(y=47906_DE$sr)) + geom_line(aes(y=47906_DE$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 47906_DE 2022", x = "Datum", y = "Zeit")
pdf("47906_DE_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="47906_DE_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
47906_DE["Sonnenaufgang"] <- strftime(47906_DE$sr, format="%H:%M")
47906_DE["Sonnenuntergang"] <- strftime(47906_DE$ss, format="%H:%M")
write.table(47906_DE, file="47906_DE_SaSu.csv", dec=',', sep=';', row.names=FALSE)