library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
85229 <- sunrise.set(48.377974440309984,11.39307975769043, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 85229$sunrise
sunset <- 85229$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
85229["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
85229["ss"] <- as.POSIXct(sunset, format = "%H:%M")
85229["timestamp"] <- align.time(85229$sunrise, 60*10)
85229 <- 85229[c("timestamp", "sr", "ss")]
locsrss <- ggplot(85229, aes(x=85229$timestamp)) + geom_line(aes(y=85229$sr)) + geom_line(aes(y=85229$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 85229 2021", x = "Datum", y = "Zeit")
pdf("85229_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="85229_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
85229["Sonnenaufgang"] <- strftime(85229$sr, format="%H:%M")
85229["Sonnenuntergang"] <- strftime(85229$ss, format="%H:%M")
write.table(85229, file="85229_SaSu.csv", dec=',', sep=';', row.names=FALSE)