library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Ingersheim <- sunrise.set(48.958088402988444,9.177945649706999, "2019/01/01", timezone="MET", num.days=370)
sunrise <- Ingersheim$sunrise
sunset <- Ingersheim$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Ingersheim["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Ingersheim["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Ingersheim["timestamp"] <- align.time(Ingersheim$sunrise, 60*10)
Ingersheim <- Ingersheim[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Ingersheim, aes(x=Ingersheim$timestamp)) + geom_line(aes(y=Ingersheim$sr)) + geom_line(aes(y=Ingersheim$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Ingersheim 2019", x = "Datum", y = "Zeit")
pdf("Ingersheim_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Ingersheim_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Ingersheim["Sonnenaufgang"] <- strftime(Ingersheim$sr, format="%H:%M")
Ingersheim["Sonnenuntergang"] <- strftime(Ingersheim$ss, format="%H:%M")
write.table(Ingersheim, file="Ingersheim_SaSu.csv", dec=',', sep=';', row.names=FALSE)