library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
35440 <- sunrise.set(50.5326418,8.678493900000035, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 35440$sunrise
sunset <- 35440$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
35440["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
35440["ss"] <- as.POSIXct(sunset, format = "%H:%M")
35440["timestamp"] <- align.time(35440$sunrise, 60*10)
35440 <- 35440[c("timestamp", "sr", "ss")]
locsrss <- ggplot(35440, aes(x=35440$timestamp)) + geom_line(aes(y=35440$sr)) + geom_line(aes(y=35440$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 35440 2021", x = "Datum", y = "Zeit")
pdf("35440_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="35440_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
35440["Sonnenaufgang"] <- strftime(35440$sr, format="%H:%M")
35440["Sonnenuntergang"] <- strftime(35440$ss, format="%H:%M")
write.table(35440, file="35440_SaSu.csv", dec=',', sep=';', row.names=FALSE)