library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
73529 <- sunrise.set(48.7899913,9.872367199999985, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 73529$sunrise
sunset <- 73529$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
73529["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
73529["ss"] <- as.POSIXct(sunset, format = "%H:%M")
73529["timestamp"] <- align.time(73529$sunrise, 60*10)
73529 <- 73529[c("timestamp", "sr", "ss")]
locsrss <- ggplot(73529, aes(x=73529$timestamp)) + geom_line(aes(y=73529$sr)) + geom_line(aes(y=73529$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 73529 2024", x = "Datum", y = "Zeit")
pdf("73529_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="73529_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
73529["Sonnenaufgang"] <- strftime(73529$sr, format="%H:%M")
73529["Sonnenuntergang"] <- strftime(73529$ss, format="%H:%M")
write.table(73529, file="73529_SaSu.csv", dec=',', sep=';', row.names=FALSE)