library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
07745 <- sunrise.set(50.89783627109672,11.576199531555176, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 07745$sunrise
sunset <- 07745$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
07745["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
07745["ss"] <- as.POSIXct(sunset, format = "%H:%M")
07745["timestamp"] <- align.time(07745$sunrise, 60*10)
07745 <- 07745[c("timestamp", "sr", "ss")]
locsrss <- ggplot(07745, aes(x=07745$timestamp)) + geom_line(aes(y=07745$sr)) + geom_line(aes(y=07745$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 07745 2021", x = "Datum", y = "Zeit")
pdf("07745_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="07745_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
07745["Sonnenaufgang"] <- strftime(07745$sr, format="%H:%M")
07745["Sonnenuntergang"] <- strftime(07745$ss, format="%H:%M")
write.table(07745, file="07745_SaSu.csv", dec=',', sep=';', row.names=FALSE)