library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
75392 <- sunrise.set(51.96,7.62, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 75392$sunrise
sunset <- 75392$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
75392["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
75392["ss"] <- as.POSIXct(sunset, format = "%H:%M")
75392["timestamp"] <- align.time(75392$sunrise, 60*10)
75392 <- 75392[c("timestamp", "sr", "ss")]
locsrss <- ggplot(75392, aes(x=75392$timestamp)) + geom_line(aes(y=75392$sr)) + geom_line(aes(y=75392$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 75392 2021", x = "Datum", y = "Zeit")
pdf("75392_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="75392_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
75392["Sonnenaufgang"] <- strftime(75392$sr, format="%H:%M")
75392["Sonnenuntergang"] <- strftime(75392$ss, format="%H:%M")
write.table(75392, file="75392_SaSu.csv", dec=',', sep=';', row.names=FALSE)