library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Elmshorn <- sunrise.set(53.73387215392641,9.673690865975768, "2025/01/01", timezone="MET", num.days=370)
sunrise <- Elmshorn$sunrise
sunset <- Elmshorn$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Elmshorn["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Elmshorn["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Elmshorn["timestamp"] <- align.time(Elmshorn$sunrise, 60*10)
Elmshorn <- Elmshorn[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Elmshorn, aes(x=Elmshorn$timestamp)) + geom_line(aes(y=Elmshorn$sr)) + geom_line(aes(y=Elmshorn$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Elmshorn 2025", x = "Datum", y = "Zeit")
pdf("Elmshorn_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Elmshorn_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Elmshorn["Sonnenaufgang"] <- strftime(Elmshorn$sr, format="%H:%M")
Elmshorn["Sonnenuntergang"] <- strftime(Elmshorn$ss, format="%H:%M")
write.table(Elmshorn, file="Elmshorn_SaSu.csv", dec=',', sep=';', row.names=FALSE)