library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
D_74595 <- sunrise.set(49.25167201004459,9.85422134399414, "2021/01/01", timezone="MET", num.days=370)
sunrise <- D_74595$sunrise
sunset <- D_74595$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
D_74595["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
D_74595["ss"] <- as.POSIXct(sunset, format = "%H:%M")
D_74595["timestamp"] <- align.time(D_74595$sunrise, 60*10)
D_74595 <- D_74595[c("timestamp", "sr", "ss")]
locsrss <- ggplot(D_74595, aes(x=D_74595$timestamp)) + geom_line(aes(y=D_74595$sr)) + geom_line(aes(y=D_74595$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - D_74595 2021", x = "Datum", y = "Zeit")
pdf("D_74595_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="D_74595_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
D_74595["Sonnenaufgang"] <- strftime(D_74595$sr, format="%H:%M")
D_74595["Sonnenuntergang"] <- strftime(D_74595$ss, format="%H:%M")
write.table(D_74595, file="D_74595_SaSu.csv", dec=',', sep=';', row.names=FALSE)