library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
NY_Alesund <- sunrise.set(78.9235381,11.909895199999937, "2024/01/01", timezone="MET", num.days=370)
sunrise <- NY_Alesund$sunrise
sunset <- NY_Alesund$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
NY_Alesund["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
NY_Alesund["ss"] <- as.POSIXct(sunset, format = "%H:%M")
NY_Alesund["timestamp"] <- align.time(NY_Alesund$sunrise, 60*10)
NY_Alesund <- NY_Alesund[c("timestamp", "sr", "ss")]
locsrss <- ggplot(NY_Alesund, aes(x=NY_Alesund$timestamp)) + geom_line(aes(y=NY_Alesund$sr)) + geom_line(aes(y=NY_Alesund$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - NY_Alesund 2024", x = "Datum", y = "Zeit")
pdf("NY_Alesund_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="NY_Alesund_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
NY_Alesund["Sonnenaufgang"] <- strftime(NY_Alesund$sr, format="%H:%M")
NY_Alesund["Sonnenuntergang"] <- strftime(NY_Alesund$ss, format="%H:%M")
write.table(NY_Alesund, file="NY_Alesund_SaSu.csv", dec=',', sep=';', row.names=FALSE)