library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
DK_Hvide_Sande <- sunrise.set(56.011793,8.127935, "2025/01/01", timezone="MET", num.days=370)
sunrise <- DK_Hvide_Sande$sunrise
sunset <- DK_Hvide_Sande$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
DK_Hvide_Sande["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
DK_Hvide_Sande["ss"] <- as.POSIXct(sunset, format = "%H:%M")
DK_Hvide_Sande["timestamp"] <- align.time(DK_Hvide_Sande$sunrise, 60*10)
DK_Hvide_Sande <- DK_Hvide_Sande[c("timestamp", "sr", "ss")]
locsrss <- ggplot(DK_Hvide_Sande, aes(x=DK_Hvide_Sande$timestamp)) + geom_line(aes(y=DK_Hvide_Sande$sr)) + geom_line(aes(y=DK_Hvide_Sande$ss)) + labs(title = " Sunrise/Sunset - DK_Hvide_Sande 2025", x = "Date", y = "Time")
pdf("DK_Hvide_Sande_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="DK_Hvide_Sande_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
DK_Hvide_Sande["Sunrise"] <- strftime(DK_Hvide_Sande$sr, format="%H:%M")
DK_Hvide_Sande["Sunset"] <- strftime(DK_Hvide_Sande$ss, format="%H:%M")
write.table(DK_Hvide_Sande, file="DK_Hvide_Sande_SaSu.csv", dec=',', sep=';', row.names=FALSE)