library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Ehningen <- sunrise.set(48.6580681,8.9427847, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Ehningen$sunrise
sunset <- Ehningen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Ehningen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Ehningen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Ehningen["timestamp"] <- align.time(Ehningen$sunrise, 60*10)
Ehningen <- Ehningen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Ehningen, aes(x=Ehningen$timestamp)) + geom_line(aes(y=Ehningen$sr)) + geom_line(aes(y=Ehningen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Ehningen 2024", x = "Datum", y = "Zeit")
pdf("Ehningen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Ehningen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Ehningen["Sonnenaufgang"] <- strftime(Ehningen$sr, format="%H:%M")
Ehningen["Sonnenuntergang"] <- strftime(Ehningen$ss, format="%H:%M")
write.table(Ehningen, file="Ehningen_SaSu.csv", dec=',', sep=';', row.names=FALSE)