library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
79249 <- sunrise.set(47.9653404,7.8266448, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 79249$sunrise
sunset <- 79249$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
79249["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
79249["ss"] <- as.POSIXct(sunset, format = "%H:%M")
79249["timestamp"] <- align.time(79249$sunrise, 60*10)
79249 <- 79249[c("timestamp", "sr", "ss")]
locsrss <- ggplot(79249, aes(x=79249$timestamp)) + geom_line(aes(y=79249$sr)) + geom_line(aes(y=79249$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 79249 2024", x = "Datum", y = "Zeit")
pdf("79249_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="79249_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
79249["Sonnenaufgang"] <- strftime(79249$sr, format="%H:%M")
79249["Sonnenuntergang"] <- strftime(79249$ss, format="%H:%M")
write.table(79249, file="79249_SaSu.csv", dec=',', sep=';', row.names=FALSE)