library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Appenweier <- sunrise.set(48.53314630783885,7.982640266418457, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Appenweier$sunrise
sunset <- Appenweier$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Appenweier["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Appenweier["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Appenweier["timestamp"] <- align.time(Appenweier$sunrise, 60*10)
Appenweier <- Appenweier[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Appenweier, aes(x=Appenweier$timestamp)) + geom_line(aes(y=Appenweier$sr)) + geom_line(aes(y=Appenweier$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Appenweier 2024", x = "Datum", y = "Zeit")
pdf("Appenweier_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Appenweier_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Appenweier["Sonnenaufgang"] <- strftime(Appenweier$sr, format="%H:%M")
Appenweier["Sonnenuntergang"] <- strftime(Appenweier$ss, format="%H:%M")
write.table(Appenweier, file="Appenweier_SaSu.csv", dec=',', sep=';', row.names=FALSE)