library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Budapest <- sunrise.set(46.7950576,17.4757754, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Budapest$sunrise
sunset <- Budapest$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Budapest["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Budapest["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Budapest["timestamp"] <- align.time(Budapest$sunrise, 60*10)
Budapest <- Budapest[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Budapest, aes(x=Budapest$timestamp)) + geom_line(aes(y=Budapest$sr)) + geom_line(aes(y=Budapest$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Budapest 2024", x = "Datum", y = "Zeit")
pdf("Budapest_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Budapest_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Budapest["Sonnenaufgang"] <- strftime(Budapest$sr, format="%H:%M")
Budapest["Sonnenuntergang"] <- strftime(Budapest$ss, format="%H:%M")
write.table(Budapest, file="Budapest_SaSu.csv", dec=',', sep=';', row.names=FALSE)