library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Berlin_13409 <- sunrise.set(52.56403453439653,13.368341555406118, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Berlin_13409$sunrise
sunset <- Berlin_13409$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Berlin_13409["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Berlin_13409["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Berlin_13409["timestamp"] <- align.time(Berlin_13409$sunrise, 60*10)
Berlin_13409 <- Berlin_13409[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Berlin_13409, aes(x=Berlin_13409$timestamp)) + geom_line(aes(y=Berlin_13409$sr)) + geom_line(aes(y=Berlin_13409$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Berlin_13409 2024", x = "Datum", y = "Zeit")
pdf("Berlin_13409_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Berlin_13409_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Berlin_13409["Sonnenaufgang"] <- strftime(Berlin_13409$sr, format="%H:%M")
Berlin_13409["Sonnenuntergang"] <- strftime(Berlin_13409$ss, format="%H:%M")
write.table(Berlin_13409, file="Berlin_13409_SaSu.csv", dec=',', sep=';', row.names=FALSE)