library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
42697 <- sunrise.set(51.1540297,6.9912361, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 42697$sunrise
sunset <- 42697$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
42697["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
42697["ss"] <- as.POSIXct(sunset, format = "%H:%M")
42697["timestamp"] <- align.time(42697$sunrise, 60*10)
42697 <- 42697[c("timestamp", "sr", "ss")]
locsrss <- ggplot(42697, aes(x=42697$timestamp)) + geom_line(aes(y=42697$sr)) + geom_line(aes(y=42697$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 42697 2021", x = "Datum", y = "Zeit")
pdf("42697_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="42697_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
42697["Sonnenaufgang"] <- strftime(42697$sr, format="%H:%M")
42697["Sonnenuntergang"] <- strftime(42697$ss, format="%H:%M")
write.table(42697, file="42697_SaSu.csv", dec=',', sep=';', row.names=FALSE)