library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
PL_Warszawa <- sunrise.set(52.2296756,21.0122287, "2024/01/01", timezone="MET", num.days=370)
sunrise <- PL_Warszawa$sunrise
sunset <- PL_Warszawa$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
PL_Warszawa["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
PL_Warszawa["ss"] <- as.POSIXct(sunset, format = "%H:%M")
PL_Warszawa["timestamp"] <- align.time(PL_Warszawa$sunrise, 60*10)
PL_Warszawa <- PL_Warszawa[c("timestamp", "sr", "ss")]
locsrss <- ggplot(PL_Warszawa, aes(x=PL_Warszawa$timestamp)) + geom_line(aes(y=PL_Warszawa$sr)) + geom_line(aes(y=PL_Warszawa$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - PL_Warszawa 2024", x = "Datum", y = "Zeit")
pdf("PL_Warszawa_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="PL_Warszawa_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
PL_Warszawa["Sonnenaufgang"] <- strftime(PL_Warszawa$sr, format="%H:%M")
PL_Warszawa["Sonnenuntergang"] <- strftime(PL_Warszawa$ss, format="%H:%M")
write.table(PL_Warszawa, file="PL_Warszawa_SaSu.csv", dec=',', sep=';', row.names=FALSE)