library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Essenheim <- sunrise.set(49.92812954782584,8.15408706665039, "2020/01/01", timezone="MET", num.days=370)
sunrise <- Essenheim$sunrise
sunset <- Essenheim$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Essenheim["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Essenheim["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Essenheim["timestamp"] <- align.time(Essenheim$sunrise, 60*10)
Essenheim <- Essenheim[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Essenheim, aes(x=Essenheim$timestamp)) + geom_line(aes(y=Essenheim$sr)) + geom_line(aes(y=Essenheim$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Essenheim 2020", x = "Datum", y = "Zeit")
pdf("Essenheim_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Essenheim_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Essenheim["Sonnenaufgang"] <- strftime(Essenheim$sr, format="%H:%M")
Essenheim["Sonnenuntergang"] <- strftime(Essenheim$ss, format="%H:%M")
write.table(Essenheim, file="Essenheim_SaSu.csv", dec=',', sep=';', row.names=FALSE)