library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Amsham <- sunrise.set(48.52126620361911,13.079996109008789, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Amsham$sunrise
sunset <- Amsham$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Amsham["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Amsham["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Amsham["timestamp"] <- align.time(Amsham$sunrise, 60*10)
Amsham <- Amsham[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Amsham, aes(x=Amsham$timestamp)) + geom_line(aes(y=Amsham$sr)) + geom_line(aes(y=Amsham$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Amsham 2021", x = "Datum", y = "Zeit")
pdf("Amsham_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Amsham_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Amsham["Sonnenaufgang"] <- strftime(Amsham$sr, format="%H:%M")
Amsham["Sonnenuntergang"] <- strftime(Amsham$ss, format="%H:%M")
write.table(Amsham, file="Amsham_SaSu.csv", dec=',', sep=';', row.names=FALSE)