library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
86647De <- sunrise.set(48.6119394,10.723151, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 86647De$sunrise
sunset <- 86647De$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
86647De["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
86647De["ss"] <- as.POSIXct(sunset, format = "%H:%M")
86647De["timestamp"] <- align.time(86647De$sunrise, 60*10)
86647De <- 86647De[c("timestamp", "sr", "ss")]
locsrss <- ggplot(86647De, aes(x=86647De$timestamp)) + geom_line(aes(y=86647De$sr)) + geom_line(aes(y=86647De$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 86647De 2024", x = "Datum", y = "Zeit")
pdf("86647De_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="86647De_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
86647De["Sonnenaufgang"] <- strftime(86647De$sr, format="%H:%M")
86647De["Sonnenuntergang"] <- strftime(86647De$ss, format="%H:%M")
write.table(86647De, file="86647De_SaSu.csv", dec=',', sep=';', row.names=FALSE)