library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
79650 <- sunrise.set(47.6446889,7.832240800000022, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 79650$sunrise
sunset <- 79650$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
79650["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
79650["ss"] <- as.POSIXct(sunset, format = "%H:%M")
79650["timestamp"] <- align.time(79650$sunrise, 60*10)
79650 <- 79650[c("timestamp", "sr", "ss")]
locsrss <- ggplot(79650, aes(x=79650$timestamp)) + geom_line(aes(y=79650$sr)) + geom_line(aes(y=79650$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 79650 2024", x = "Datum", y = "Zeit")
pdf("79650_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="79650_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
79650["Sonnenaufgang"] <- strftime(79650$sr, format="%H:%M")
79650["Sonnenuntergang"] <- strftime(79650$ss, format="%H:%M")
write.table(79650, file="79650_SaSu.csv", dec=',', sep=';', row.names=FALSE)