library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Anisimovka <- sunrise.set(43.1722222,132.78611109999997, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Anisimovka$sunrise
sunset <- Anisimovka$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Anisimovka["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Anisimovka["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Anisimovka["timestamp"] <- align.time(Anisimovka$sunrise, 60*10)
Anisimovka <- Anisimovka[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Anisimovka, aes(x=Anisimovka$timestamp)) + geom_line(aes(y=Anisimovka$sr)) + geom_line(aes(y=Anisimovka$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Anisimovka 2023", x = "Datum", y = "Zeit")
pdf("Anisimovka_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Anisimovka_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Anisimovka["Sonnenaufgang"] <- strftime(Anisimovka$sr, format="%H:%M")
Anisimovka["Sonnenuntergang"] <- strftime(Anisimovka$ss, format="%H:%M")
write.table(Anisimovka, file="Anisimovka_SaSu.csv", dec=',', sep=';', row.names=FALSE)