library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
32105 <- sunrise.set(47.9990077,7.84210429999996, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 32105$sunrise
sunset <- 32105$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
32105["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
32105["ss"] <- as.POSIXct(sunset, format = "%H:%M")
32105["timestamp"] <- align.time(32105$sunrise, 60*10)
32105 <- 32105[c("timestamp", "sr", "ss")]
locsrss <- ggplot(32105, aes(x=32105$timestamp)) + geom_line(aes(y=32105$sr)) + geom_line(aes(y=32105$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 32105 2025", x = "Datum", y = "Zeit")
pdf("32105_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="32105_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
32105["Sonnenaufgang"] <- strftime(32105$sr, format="%H:%M")
32105["Sonnenuntergang"] <- strftime(32105$ss, format="%H:%M")
write.table(32105, file="32105_SaSu.csv", dec=',', sep=';', row.names=FALSE)