library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bregenz <- sunrise.set(47.513780511398366,9.755945205688477, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bregenz$sunrise
sunset <- Bregenz$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bregenz["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bregenz["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bregenz["timestamp"] <- align.time(Bregenz$sunrise, 60*10)
Bregenz <- Bregenz[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bregenz, aes(x=Bregenz$timestamp)) + geom_line(aes(y=Bregenz$sr)) + geom_line(aes(y=Bregenz$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bregenz 2024", x = "Datum", y = "Zeit")
pdf("Bregenz_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bregenz_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bregenz["Sonnenaufgang"] <- strftime(Bregenz$sr, format="%H:%M")
Bregenz["Sonnenuntergang"] <- strftime(Bregenz$ss, format="%H:%M")
write.table(Bregenz, file="Bregenz_SaSu.csv", dec=',', sep=';', row.names=FALSE)