library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
86807 <- sunrise.set(48.03539659763826,10.734930038452148, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 86807$sunrise
sunset <- 86807$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
86807["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
86807["ss"] <- as.POSIXct(sunset, format = "%H:%M")
86807["timestamp"] <- align.time(86807$sunrise, 60*10)
86807 <- 86807[c("timestamp", "sr", "ss")]
locsrss <- ggplot(86807, aes(x=86807$timestamp)) + geom_line(aes(y=86807$sr)) + geom_line(aes(y=86807$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 86807 2024", x = "Datum", y = "Zeit")
pdf("86807_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="86807_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
86807["Sonnenaufgang"] <- strftime(86807$sr, format="%H:%M")
86807["Sonnenuntergang"] <- strftime(86807$ss, format="%H:%M")
write.table(86807, file="86807_SaSu.csv", dec=',', sep=';', row.names=FALSE)