library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
82211 <- sunrise.set(48.0088938,11.1756864, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 82211$sunrise
sunset <- 82211$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
82211["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
82211["ss"] <- as.POSIXct(sunset, format = "%H:%M")
82211["timestamp"] <- align.time(82211$sunrise, 60*10)
82211 <- 82211[c("timestamp", "sr", "ss")]
locsrss <- ggplot(82211, aes(x=82211$timestamp)) + geom_line(aes(y=82211$sr)) + geom_line(aes(y=82211$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 82211 2021", x = "Datum", y = "Zeit")
pdf("82211_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="82211_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
82211["Sonnenaufgang"] <- strftime(82211$sr, format="%H:%M")
82211["Sonnenuntergang"] <- strftime(82211$ss, format="%H:%M")
write.table(82211, file="82211_SaSu.csv", dec=',', sep=';', row.names=FALSE)