library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
84034 <- sunrise.set(48.5304884,12.093825000000038, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 84034$sunrise
sunset <- 84034$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
84034["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
84034["ss"] <- as.POSIXct(sunset, format = "%H:%M")
84034["timestamp"] <- align.time(84034$sunrise, 60*10)
84034 <- 84034[c("timestamp", "sr", "ss")]
locsrss <- ggplot(84034, aes(x=84034$timestamp)) + geom_line(aes(y=84034$sr)) + geom_line(aes(y=84034$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 84034 2021", x = "Datum", y = "Zeit")
pdf("84034_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="84034_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
84034["Sonnenaufgang"] <- strftime(84034$sr, format="%H:%M")
84034["Sonnenuntergang"] <- strftime(84034$ss, format="%H:%M")
write.table(84034, file="84034_SaSu.csv", dec=',', sep=';', row.names=FALSE)