library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bösenbrunn <- sunrise.set(50.360752712809855,12.063619221221188, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Bösenbrunn$sunrise
sunset <- Bösenbrunn$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bösenbrunn["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bösenbrunn["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bösenbrunn["timestamp"] <- align.time(Bösenbrunn$sunrise, 60*10)
Bösenbrunn <- Bösenbrunn[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bösenbrunn, aes(x=Bösenbrunn$timestamp)) + geom_line(aes(y=Bösenbrunn$sr)) + geom_line(aes(y=Bösenbrunn$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bösenbrunn 2021", x = "Datum", y = "Zeit")
pdf("Bösenbrunn_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bösenbrunn_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bösenbrunn["Sonnenaufgang"] <- strftime(Bösenbrunn$sr, format="%H:%M")
Bösenbrunn["Sonnenuntergang"] <- strftime(Bösenbrunn$ss, format="%H:%M")
write.table(Bösenbrunn, file="Bösenbrunn_SaSu.csv", dec=',', sep=';', row.names=FALSE)