library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
40822 <- sunrise.set(51.2543907,6.9831962, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 40822$sunrise
sunset <- 40822$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
40822["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
40822["ss"] <- as.POSIXct(sunset, format = "%H:%M")
40822["timestamp"] <- align.time(40822$sunrise, 60*10)
40822 <- 40822[c("timestamp", "sr", "ss")]
locsrss <- ggplot(40822, aes(x=40822$timestamp)) + geom_line(aes(y=40822$sr)) + geom_line(aes(y=40822$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 40822 2024", x = "Datum", y = "Zeit")
pdf("40822_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="40822_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
40822["Sonnenaufgang"] <- strftime(40822$sr, format="%H:%M")
40822["Sonnenuntergang"] <- strftime(40822$ss, format="%H:%M")
write.table(40822, file="40822_SaSu.csv", dec=',', sep=';', row.names=FALSE)