library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Brouwershaven_ <- sunrise.set(51.7253972,3.9121993, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Brouwershaven_$sunrise
sunset <- Brouwershaven_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Brouwershaven_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Brouwershaven_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Brouwershaven_["timestamp"] <- align.time(Brouwershaven_$sunrise, 60*10)
Brouwershaven_ <- Brouwershaven_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Brouwershaven_, aes(x=Brouwershaven_$timestamp)) + geom_line(aes(y=Brouwershaven_$sr)) + geom_line(aes(y=Brouwershaven_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Brouwershaven_ 2024", x = "Datum", y = "Zeit")
pdf("Brouwershaven__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Brouwershaven__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Brouwershaven_["Sonnenaufgang"] <- strftime(Brouwershaven_$sr, format="%H:%M")
Brouwershaven_["Sonnenuntergang"] <- strftime(Brouwershaven_$ss, format="%H:%M")
write.table(Brouwershaven_, file="Brouwershaven__SaSu.csv", dec=',', sep=';', row.names=FALSE)