library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bruchk��bel <- sunrise.set(50.1910587600735,8.931358246093737, "2022/01/01", timezone="MET", num.days=370)
sunrise <- Bruchk��bel$sunrise
sunset <- Bruchk��bel$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bruchk��bel["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bruchk��bel["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bruchk��bel["timestamp"] <- align.time(Bruchk��bel$sunrise, 60*10)
Bruchk��bel <- Bruchk��bel[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bruchk��bel, aes(x=Bruchk��bel$timestamp)) + geom_line(aes(y=Bruchk��bel$sr)) + geom_line(aes(y=Bruchk��bel$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bruchk��bel 2022", x = "Datum", y = "Zeit")
pdf("Bruchk��bel_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bruchk��bel_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bruchk��bel["Sonnenaufgang"] <- strftime(Bruchk��bel$sr, format="%H:%M")
Bruchk��bel["Sonnenuntergang"] <- strftime(Bruchk��bel$ss, format="%H:%M")
write.table(Bruchk��bel, file="Bruchk��bel_SaSu.csv", dec=',', sep=';', row.names=FALSE)