library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
88353 <- sunrise.set(47.7925042,9.894487000000026, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 88353$sunrise
sunset <- 88353$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
88353["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
88353["ss"] <- as.POSIXct(sunset, format = "%H:%M")
88353["timestamp"] <- align.time(88353$sunrise, 60*10)
88353 <- 88353[c("timestamp", "sr", "ss")]
locsrss <- ggplot(88353, aes(x=88353$timestamp)) + geom_line(aes(y=88353$sr)) + geom_line(aes(y=88353$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 88353 2021", x = "Datum", y = "Zeit")
pdf("88353_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="88353_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
88353["Sonnenaufgang"] <- strftime(88353$sr, format="%H:%M")
88353["Sonnenuntergang"] <- strftime(88353$ss, format="%H:%M")
write.table(88353, file="88353_SaSu.csv", dec=',', sep=';', row.names=FALSE)