library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
12101_Berlin <- sunrise.set(52.47786648540132,13.372764587402344, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 12101_Berlin$sunrise
sunset <- 12101_Berlin$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
12101_Berlin["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
12101_Berlin["ss"] <- as.POSIXct(sunset, format = "%H:%M")
12101_Berlin["timestamp"] <- align.time(12101_Berlin$sunrise, 60*10)
12101_Berlin <- 12101_Berlin[c("timestamp", "sr", "ss")]
locsrss <- ggplot(12101_Berlin, aes(x=12101_Berlin$timestamp)) + geom_line(aes(y=12101_Berlin$sr)) + geom_line(aes(y=12101_Berlin$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 12101_Berlin 2024", x = "Datum", y = "Zeit")
pdf("12101_Berlin_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="12101_Berlin_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
12101_Berlin["Sonnenaufgang"] <- strftime(12101_Berlin$sr, format="%H:%M")
12101_Berlin["Sonnenuntergang"] <- strftime(12101_Berlin$ss, format="%H:%M")
write.table(12101_Berlin, file="12101_Berlin_SaSu.csv", dec=',', sep=';', row.names=FALSE)