library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Ahlhorn <- sunrise.set(52.89788780020774,8.22455882624513, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Ahlhorn$sunrise
sunset <- Ahlhorn$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Ahlhorn["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Ahlhorn["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Ahlhorn["timestamp"] <- align.time(Ahlhorn$sunrise, 60*10)
Ahlhorn <- Ahlhorn[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Ahlhorn, aes(x=Ahlhorn$timestamp)) + geom_line(aes(y=Ahlhorn$sr)) + geom_line(aes(y=Ahlhorn$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Ahlhorn 2024", x = "Datum", y = "Zeit")
pdf("Ahlhorn_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Ahlhorn_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Ahlhorn["Sonnenaufgang"] <- strftime(Ahlhorn$sr, format="%H:%M")
Ahlhorn["Sonnenuntergang"] <- strftime(Ahlhorn$ss, format="%H:%M")
write.table(Ahlhorn, file="Ahlhorn_SaSu.csv", dec=',', sep=';', row.names=FALSE)