library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
86707 <- sunrise.set(48.5663323,10.830666, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 86707$sunrise
sunset <- 86707$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
86707["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
86707["ss"] <- as.POSIXct(sunset, format = "%H:%M")
86707["timestamp"] <- align.time(86707$sunrise, 60*10)
86707 <- 86707[c("timestamp", "sr", "ss")]
locsrss <- ggplot(86707, aes(x=86707$timestamp)) + geom_line(aes(y=86707$sr)) + geom_line(aes(y=86707$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 86707 2024", x = "Datum", y = "Zeit")
pdf("86707_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="86707_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
86707["Sonnenaufgang"] <- strftime(86707$sr, format="%H:%M")
86707["Sonnenuntergang"] <- strftime(86707$ss, format="%H:%M")
write.table(86707, file="86707_SaSu.csv", dec=',', sep=';', row.names=FALSE)