library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
50937 <- sunrise.set(50.9096296,6.913771300000008, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 50937$sunrise
sunset <- 50937$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
50937["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
50937["ss"] <- as.POSIXct(sunset, format = "%H:%M")
50937["timestamp"] <- align.time(50937$sunrise, 60*10)
50937 <- 50937[c("timestamp", "sr", "ss")]
locsrss <- ggplot(50937, aes(x=50937$timestamp)) + geom_line(aes(y=50937$sr)) + geom_line(aes(y=50937$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 50937 2024", x = "Datum", y = "Zeit")
pdf("50937_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="50937_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
50937["Sonnenaufgang"] <- strftime(50937$sr, format="%H:%M")
50937["Sonnenuntergang"] <- strftime(50937$ss, format="%H:%M")
write.table(50937, file="50937_SaSu.csv", dec=',', sep=';', row.names=FALSE)