library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Viikusjärvi <- sunrise.set(67.9824161,22.3668197, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Viikusjärvi$sunrise
sunset <- Viikusjärvi$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Viikusjärvi["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Viikusjärvi["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Viikusjärvi["timestamp"] <- align.time(Viikusjärvi$sunrise, 60*10)
Viikusjärvi <- Viikusjärvi[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Viikusjärvi, aes(x=Viikusjärvi$timestamp)) + geom_line(aes(y=Viikusjärvi$sr)) + geom_line(aes(y=Viikusjärvi$ss)) + labs(title = " Sunrise/Sunset - Viikusjärvi 2024", x = "Date", y = "Time")
pdf("Viikusjärvi_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Viikusjärvi_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Viikusjärvi["Sunrise"] <- strftime(Viikusjärvi$sr, format="%H:%M")
Viikusjärvi["Sunset"] <- strftime(Viikusjärvi$ss, format="%H:%M")
write.table(Viikusjärvi, file="Viikusjärvi_SaSu.csv", dec=',', sep=';', row.names=FALSE)