library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
98590 <- sunrise.set(50.7037321,10.2159899, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 98590$sunrise
sunset <- 98590$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
98590["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
98590["ss"] <- as.POSIXct(sunset, format = "%H:%M")
98590["timestamp"] <- align.time(98590$sunrise, 60*10)
98590 <- 98590[c("timestamp", "sr", "ss")]
locsrss <- ggplot(98590, aes(x=98590$timestamp)) + geom_line(aes(y=98590$sr)) + geom_line(aes(y=98590$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 98590 2021", x = "Datum", y = "Zeit")
pdf("98590_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="98590_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
98590["Sonnenaufgang"] <- strftime(98590$sr, format="%H:%M")
98590["Sonnenuntergang"] <- strftime(98590$ss, format="%H:%M")
write.table(98590, file="98590_SaSu.csv", dec=',', sep=';', row.names=FALSE)