library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
88483 <- sunrise.set(48.2325971,9.9538431, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 88483$sunrise
sunset <- 88483$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
88483["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
88483["ss"] <- as.POSIXct(sunset, format = "%H:%M")
88483["timestamp"] <- align.time(88483$sunrise, 60*10)
88483 <- 88483[c("timestamp", "sr", "ss")]
locsrss <- ggplot(88483, aes(x=88483$timestamp)) + geom_line(aes(y=88483$sr)) + geom_line(aes(y=88483$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 88483 2021", x = "Datum", y = "Zeit")
pdf("88483_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="88483_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
88483["Sonnenaufgang"] <- strftime(88483$sr, format="%H:%M")
88483["Sonnenuntergang"] <- strftime(88483$ss, format="%H:%M")
write.table(88483, file="88483_SaSu.csv", dec=',', sep=';', row.names=FALSE)