library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
36275 <- sunrise.set(50.849108,9.56213, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 36275$sunrise
sunset <- 36275$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
36275["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
36275["ss"] <- as.POSIXct(sunset, format = "%H:%M")
36275["timestamp"] <- align.time(36275$sunrise, 60*10)
36275 <- 36275[c("timestamp", "sr", "ss")]
locsrss <- ggplot(36275, aes(x=36275$timestamp)) + geom_line(aes(y=36275$sr)) + geom_line(aes(y=36275$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 36275 2023", x = "Datum", y = "Zeit")
pdf("36275_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="36275_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
36275["Sonnenaufgang"] <- strftime(36275$sr, format="%H:%M")
36275["Sonnenuntergang"] <- strftime(36275$ss, format="%H:%M")
write.table(36275, file="36275_SaSu.csv", dec=',', sep=';', row.names=FALSE)