library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
32584 <- sunrise.set(52.200567,8.726238, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 32584$sunrise
sunset <- 32584$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
32584["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
32584["ss"] <- as.POSIXct(sunset, format = "%H:%M")
32584["timestamp"] <- align.time(32584$sunrise, 60*10)
32584 <- 32584[c("timestamp", "sr", "ss")]
locsrss <- ggplot(32584, aes(x=32584$timestamp)) + geom_line(aes(y=32584$sr)) + geom_line(aes(y=32584$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 32584 2025", x = "Datum", y = "Zeit")
pdf("32584_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="32584_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
32584["Sonnenaufgang"] <- strftime(32584$sr, format="%H:%M")
32584["Sonnenuntergang"] <- strftime(32584$ss, format="%H:%M")
write.table(32584, file="32584_SaSu.csv", dec=',', sep=';', row.names=FALSE)