library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
86504_Merching <- sunrise.set(48.2444505,10.986250700000028, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 86504_Merching$sunrise
sunset <- 86504_Merching$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
86504_Merching["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
86504_Merching["ss"] <- as.POSIXct(sunset, format = "%H:%M")
86504_Merching["timestamp"] <- align.time(86504_Merching$sunrise, 60*10)
86504_Merching <- 86504_Merching[c("timestamp", "sr", "ss")]
locsrss <- ggplot(86504_Merching, aes(x=86504_Merching$timestamp)) + geom_line(aes(y=86504_Merching$sr)) + geom_line(aes(y=86504_Merching$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 86504_Merching 2024", x = "Datum", y = "Zeit")
pdf("86504_Merching_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="86504_Merching_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
86504_Merching["Sonnenaufgang"] <- strftime(86504_Merching$sr, format="%H:%M")
86504_Merching["Sonnenuntergang"] <- strftime(86504_Merching$ss, format="%H:%M")
write.table(86504_Merching, file="86504_Merching_SaSu.csv", dec=',', sep=';', row.names=FALSE)