library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Adelmannsfelden <- sunrise.set(48.9543766,10.0029785, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Adelmannsfelden$sunrise
sunset <- Adelmannsfelden$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Adelmannsfelden["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Adelmannsfelden["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Adelmannsfelden["timestamp"] <- align.time(Adelmannsfelden$sunrise, 60*10)
Adelmannsfelden <- Adelmannsfelden[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Adelmannsfelden, aes(x=Adelmannsfelden$timestamp)) + geom_line(aes(y=Adelmannsfelden$sr)) + geom_line(aes(y=Adelmannsfelden$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Adelmannsfelden 2024", x = "Datum", y = "Zeit")
pdf("Adelmannsfelden_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Adelmannsfelden_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Adelmannsfelden["Sonnenaufgang"] <- strftime(Adelmannsfelden$sr, format="%H:%M")
Adelmannsfelden["Sonnenuntergang"] <- strftime(Adelmannsfelden$ss, format="%H:%M")
write.table(Adelmannsfelden, file="Adelmannsfelden_SaSu.csv", dec=',', sep=';', row.names=FALSE)