library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Esbjerg <- sunrise.set(55.476466,8.459405, "2022/01/01", timezone="MET", num.days=370)
sunrise <- Esbjerg$sunrise
sunset <- Esbjerg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Esbjerg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Esbjerg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Esbjerg["timestamp"] <- align.time(Esbjerg$sunrise, 60*10)
Esbjerg <- Esbjerg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Esbjerg, aes(x=Esbjerg$timestamp)) + geom_line(aes(y=Esbjerg$sr)) + geom_line(aes(y=Esbjerg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Esbjerg 2022", x = "Datum", y = "Zeit")
pdf("Esbjerg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Esbjerg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Esbjerg["Sonnenaufgang"] <- strftime(Esbjerg$sr, format="%H:%M")
Esbjerg["Sonnenuntergang"] <- strftime(Esbjerg$ss, format="%H:%M")
write.table(Esbjerg, file="Esbjerg_SaSu.csv", dec=',', sep=';', row.names=FALSE)