library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Diepersorf <- sunrise.set(49.46082029999999,11.290109400000006, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Diepersorf$sunrise
sunset <- Diepersorf$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Diepersorf["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Diepersorf["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Diepersorf["timestamp"] <- align.time(Diepersorf$sunrise, 60*10)
Diepersorf <- Diepersorf[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Diepersorf, aes(x=Diepersorf$timestamp)) + geom_line(aes(y=Diepersorf$sr)) + geom_line(aes(y=Diepersorf$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Diepersorf 2024", x = "Datum", y = "Zeit")
pdf("Diepersorf_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Diepersorf_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Diepersorf["Sonnenaufgang"] <- strftime(Diepersorf$sr, format="%H:%M")
Diepersorf["Sonnenuntergang"] <- strftime(Diepersorf$ss, format="%H:%M")
write.table(Diepersorf, file="Diepersorf_SaSu.csv", dec=',', sep=';', row.names=FALSE)