library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
86165 <- sunrise.set(48.3815038,10.9397471, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 86165$sunrise
sunset <- 86165$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
86165["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
86165["ss"] <- as.POSIXct(sunset, format = "%H:%M")
86165["timestamp"] <- align.time(86165$sunrise, 60*10)
86165 <- 86165[c("timestamp", "sr", "ss")]
locsrss <- ggplot(86165, aes(x=86165$timestamp)) + geom_line(aes(y=86165$sr)) + geom_line(aes(y=86165$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 86165 2025", x = "Datum", y = "Zeit")
pdf("86165_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="86165_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
86165["Sonnenaufgang"] <- strftime(86165$sr, format="%H:%M")
86165["Sonnenuntergang"] <- strftime(86165$ss, format="%H:%M")
write.table(86165, file="86165_SaSu.csv", dec=',', sep=';', row.names=FALSE)