library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
47198 <- sunrise.set(51.4549865,6.7062151, "2022/01/01", timezone="MET", num.days=370)
sunrise <- 47198$sunrise
sunset <- 47198$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
47198["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
47198["ss"] <- as.POSIXct(sunset, format = "%H:%M")
47198["timestamp"] <- align.time(47198$sunrise, 60*10)
47198 <- 47198[c("timestamp", "sr", "ss")]
locsrss <- ggplot(47198, aes(x=47198$timestamp)) + geom_line(aes(y=47198$sr)) + geom_line(aes(y=47198$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 47198 2022", x = "Datum", y = "Zeit")
pdf("47198_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="47198_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
47198["Sonnenaufgang"] <- strftime(47198$sr, format="%H:%M")
47198["Sonnenuntergang"] <- strftime(47198$ss, format="%H:%M")
write.table(47198, file="47198_SaSu.csv", dec=',', sep=';', row.names=FALSE)