library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Biberach <- sunrise.set(48.0951473,9.790152499999976, "2022/01/01", timezone="MET", num.days=370)
sunrise <- Biberach$sunrise
sunset <- Biberach$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Biberach["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Biberach["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Biberach["timestamp"] <- align.time(Biberach$sunrise, 60*10)
Biberach <- Biberach[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Biberach, aes(x=Biberach$timestamp)) + geom_line(aes(y=Biberach$sr)) + geom_line(aes(y=Biberach$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Biberach 2022", x = "Datum", y = "Zeit")
pdf("Biberach_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Biberach_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Biberach["Sonnenaufgang"] <- strftime(Biberach$sr, format="%H:%M")
Biberach["Sonnenuntergang"] <- strftime(Biberach$ss, format="%H:%M")
write.table(Biberach, file="Biberach_SaSu.csv", dec=',', sep=';', row.names=FALSE)