library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
84137 <- sunrise.set(48.45092020000001,12.35258680000004, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 84137$sunrise
sunset <- 84137$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
84137["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
84137["ss"] <- as.POSIXct(sunset, format = "%H:%M")
84137["timestamp"] <- align.time(84137$sunrise, 60*10)
84137 <- 84137[c("timestamp", "sr", "ss")]
locsrss <- ggplot(84137, aes(x=84137$timestamp)) + geom_line(aes(y=84137$sr)) + geom_line(aes(y=84137$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 84137 2021", x = "Datum", y = "Zeit")
pdf("84137_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="84137_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
84137["Sonnenaufgang"] <- strftime(84137$sr, format="%H:%M")
84137["Sonnenuntergang"] <- strftime(84137$ss, format="%H:%M")
write.table(84137, file="84137_SaSu.csv", dec=',', sep=';', row.names=FALSE)