library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Baden_Baden <- sunrise.set(48.7598004,8.2397925, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Baden_Baden$sunrise
sunset <- Baden_Baden$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Baden_Baden["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Baden_Baden["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Baden_Baden["timestamp"] <- align.time(Baden_Baden$sunrise, 60*10)
Baden_Baden <- Baden_Baden[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Baden_Baden, aes(x=Baden_Baden$timestamp)) + geom_line(aes(y=Baden_Baden$sr)) + geom_line(aes(y=Baden_Baden$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Baden_Baden 2024", x = "Datum", y = "Zeit")
pdf("Baden_Baden_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Baden_Baden_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Baden_Baden["Sonnenaufgang"] <- strftime(Baden_Baden$sr, format="%H:%M")
Baden_Baden["Sonnenuntergang"] <- strftime(Baden_Baden$ss, format="%H:%M")
write.table(Baden_Baden, file="Baden_Baden_SaSu.csv", dec=',', sep=';', row.names=FALSE)