library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
76187 <- sunrise.set(49.0388727,8.336479, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 76187$sunrise
sunset <- 76187$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
76187["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
76187["ss"] <- as.POSIXct(sunset, format = "%H:%M")
76187["timestamp"] <- align.time(76187$sunrise, 60*10)
76187 <- 76187[c("timestamp", "sr", "ss")]
locsrss <- ggplot(76187, aes(x=76187$timestamp)) + geom_line(aes(y=76187$sr)) + geom_line(aes(y=76187$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 76187 2021", x = "Datum", y = "Zeit")
pdf("76187_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="76187_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
76187["Sonnenaufgang"] <- strftime(76187$sr, format="%H:%M")
76187["Sonnenuntergang"] <- strftime(76187$ss, format="%H:%M")
write.table(76187, file="76187_SaSu.csv", dec=',', sep=';', row.names=FALSE)