library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
78199_Bräunlingen <- sunrise.set(47.9293983,8.4454665, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 78199_Bräunlingen$sunrise
sunset <- 78199_Bräunlingen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
78199_Bräunlingen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
78199_Bräunlingen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
78199_Bräunlingen["timestamp"] <- align.time(78199_Bräunlingen$sunrise, 60*10)
78199_Bräunlingen <- 78199_Bräunlingen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(78199_Bräunlingen, aes(x=78199_Bräunlingen$timestamp)) + geom_line(aes(y=78199_Bräunlingen$sr)) + geom_line(aes(y=78199_Bräunlingen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 78199_Bräunlingen 2024", x = "Datum", y = "Zeit")
pdf("78199_Bräunlingen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="78199_Bräunlingen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
78199_Bräunlingen["Sonnenaufgang"] <- strftime(78199_Bräunlingen$sr, format="%H:%M")
78199_Bräunlingen["Sonnenuntergang"] <- strftime(78199_Bräunlingen$ss, format="%H:%M")
write.table(78199_Bräunlingen, file="78199_Bräunlingen_SaSu.csv", dec=',', sep=';', row.names=FALSE)