library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Brück <- sunrise.set(52.17176102753539,12.676793906243915, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Brück$sunrise
sunset <- Brück$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Brück["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Brück["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Brück["timestamp"] <- align.time(Brück$sunrise, 60*10)
Brück <- Brück[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Brück, aes(x=Brück$timestamp)) + geom_line(aes(y=Brück$sr)) + geom_line(aes(y=Brück$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Brück 2021", x = "Datum", y = "Zeit")
pdf("Brück_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Brück_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Brück["Sonnenaufgang"] <- strftime(Brück$sr, format="%H:%M")
Brück["Sonnenuntergang"] <- strftime(Brück$ss, format="%H:%M")
write.table(Brück, file="Brück_SaSu.csv", dec=',', sep=';', row.names=FALSE)