library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
77815 <- sunrise.set(48.6824642,8.1500317, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 77815$sunrise
sunset <- 77815$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
77815["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
77815["ss"] <- as.POSIXct(sunset, format = "%H:%M")
77815["timestamp"] <- align.time(77815$sunrise, 60*10)
77815 <- 77815[c("timestamp", "sr", "ss")]
locsrss <- ggplot(77815, aes(x=77815$timestamp)) + geom_line(aes(y=77815$sr)) + geom_line(aes(y=77815$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 77815 2021", x = "Datum", y = "Zeit")
pdf("77815_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="77815_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
77815["Sonnenaufgang"] <- strftime(77815$sr, format="%H:%M")
77815["Sonnenuntergang"] <- strftime(77815$ss, format="%H:%M")
write.table(77815, file="77815_SaSu.csv", dec=',', sep=';', row.names=FALSE)