library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
22969 <- sunrise.set(37.8028124,-78.6909263, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 22969$sunrise
sunset <- 22969$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
22969["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
22969["ss"] <- as.POSIXct(sunset, format = "%H:%M")
22969["timestamp"] <- align.time(22969$sunrise, 60*10)
22969 <- 22969[c("timestamp", "sr", "ss")]
locsrss <- ggplot(22969, aes(x=22969$timestamp)) + geom_line(aes(y=22969$sr)) + geom_line(aes(y=22969$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 22969 2021", x = "Datum", y = "Zeit")
pdf("22969_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="22969_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
22969["Sonnenaufgang"] <- strftime(22969$sr, format="%H:%M")
22969["Sonnenuntergang"] <- strftime(22969$ss, format="%H:%M")
write.table(22969, file="22969_SaSu.csv", dec=',', sep=';', row.names=FALSE)