library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
5036 <- sunrise.set(47.35620727966283,8.036858439445496, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 5036$sunrise
sunset <- 5036$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
5036["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
5036["ss"] <- as.POSIXct(sunset, format = "%H:%M")
5036["timestamp"] <- align.time(5036$sunrise, 60*10)
5036 <- 5036[c("timestamp", "sr", "ss")]
locsrss <- ggplot(5036, aes(x=5036$timestamp)) + geom_line(aes(y=5036$sr)) + geom_line(aes(y=5036$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 5036 2024", x = "Datum", y = "Zeit")
pdf("5036_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="5036_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
5036["Sonnenaufgang"] <- strftime(5036$sr, format="%H:%M")
5036["Sonnenuntergang"] <- strftime(5036$ss, format="%H:%M")
write.table(5036, file="5036_SaSu.csv", dec=',', sep=';', row.names=FALSE)