library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
74653 <- sunrise.set(49.3043127,9.6979593, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 74653$sunrise
sunset <- 74653$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
74653["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
74653["ss"] <- as.POSIXct(sunset, format = "%H:%M")
74653["timestamp"] <- align.time(74653$sunrise, 60*10)
74653 <- 74653[c("timestamp", "sr", "ss")]
locsrss <- ggplot(74653, aes(x=74653$timestamp)) + geom_line(aes(y=74653$sr)) + geom_line(aes(y=74653$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 74653 2021", x = "Datum", y = "Zeit")
pdf("74653_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="74653_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
74653["Sonnenaufgang"] <- strftime(74653$sr, format="%H:%M")
74653["Sonnenuntergang"] <- strftime(74653$ss, format="%H:%M")
write.table(74653, file="74653_SaSu.csv", dec=',', sep=';', row.names=FALSE)