library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
88069 <- sunrise.set(47.6460495,9.629924, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 88069$sunrise
sunset <- 88069$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
88069["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
88069["ss"] <- as.POSIXct(sunset, format = "%H:%M")
88069["timestamp"] <- align.time(88069$sunrise, 60*10)
88069 <- 88069[c("timestamp", "sr", "ss")]
locsrss <- ggplot(88069, aes(x=88069$timestamp)) + geom_line(aes(y=88069$sr)) + geom_line(aes(y=88069$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 88069 2024", x = "Datum", y = "Zeit")
pdf("88069_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="88069_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
88069["Sonnenaufgang"] <- strftime(88069$sr, format="%H:%M")
88069["Sonnenuntergang"] <- strftime(88069$ss, format="%H:%M")
write.table(88069, file="88069_SaSu.csv", dec=',', sep=';', row.names=FALSE)