library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
41517 <- sunrise.set(51.040876774267296,6.578150994628913, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 41517$sunrise
sunset <- 41517$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
41517["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
41517["ss"] <- as.POSIXct(sunset, format = "%H:%M")
41517["timestamp"] <- align.time(41517$sunrise, 60*10)
41517 <- 41517[c("timestamp", "sr", "ss")]
locsrss <- ggplot(41517, aes(x=41517$timestamp)) + geom_line(aes(y=41517$sr)) + geom_line(aes(y=41517$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 41517 2021", x = "Datum", y = "Zeit")
pdf("41517_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="41517_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
41517["Sonnenaufgang"] <- strftime(41517$sr, format="%H:%M")
41517["Sonnenuntergang"] <- strftime(41517$ss, format="%H:%M")
write.table(41517, file="41517_SaSu.csv", dec=',', sep=';', row.names=FALSE)