library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Braunlage_ <- sunrise.set(51.7249346,10.6104347, "2022/01/01", timezone="MET", num.days=370)
sunrise <- Braunlage_$sunrise
sunset <- Braunlage_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Braunlage_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Braunlage_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Braunlage_["timestamp"] <- align.time(Braunlage_$sunrise, 60*10)
Braunlage_ <- Braunlage_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Braunlage_, aes(x=Braunlage_$timestamp)) + geom_line(aes(y=Braunlage_$sr)) + geom_line(aes(y=Braunlage_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Braunlage_ 2022", x = "Datum", y = "Zeit")
pdf("Braunlage__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Braunlage__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Braunlage_["Sonnenaufgang"] <- strftime(Braunlage_$sr, format="%H:%M")
Braunlage_["Sonnenuntergang"] <- strftime(Braunlage_$ss, format="%H:%M")
write.table(Braunlage_, file="Braunlage__SaSu.csv", dec=',', sep=';', row.names=FALSE)