library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
71088 <- sunrise.set(48.6427688,9.0176454, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 71088$sunrise
sunset <- 71088$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
71088["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
71088["ss"] <- as.POSIXct(sunset, format = "%H:%M")
71088["timestamp"] <- align.time(71088$sunrise, 60*10)
71088 <- 71088[c("timestamp", "sr", "ss")]
locsrss <- ggplot(71088, aes(x=71088$timestamp)) + geom_line(aes(y=71088$sr)) + geom_line(aes(y=71088$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 71088 2025", x = "Datum", y = "Zeit")
pdf("71088_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="71088_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
71088["Sonnenaufgang"] <- strftime(71088$sr, format="%H:%M")
71088["Sonnenuntergang"] <- strftime(71088$ss, format="%H:%M")
write.table(71088, file="71088_SaSu.csv", dec=',', sep=';', row.names=FALSE)