library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
83626_Valley <- sunrise.set(47.8929771,11.7794156, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 83626_Valley$sunrise
sunset <- 83626_Valley$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
83626_Valley["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
83626_Valley["ss"] <- as.POSIXct(sunset, format = "%H:%M")
83626_Valley["timestamp"] <- align.time(83626_Valley$sunrise, 60*10)
83626_Valley <- 83626_Valley[c("timestamp", "sr", "ss")]
locsrss <- ggplot(83626_Valley, aes(x=83626_Valley$timestamp)) + geom_line(aes(y=83626_Valley$sr)) + geom_line(aes(y=83626_Valley$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 83626_Valley 2024", x = "Datum", y = "Zeit")
pdf("83626_Valley_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="83626_Valley_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
83626_Valley["Sonnenaufgang"] <- strftime(83626_Valley$sr, format="%H:%M")
83626_Valley["Sonnenuntergang"] <- strftime(83626_Valley$ss, format="%H:%M")
write.table(83626_Valley, file="83626_Valley_SaSu.csv", dec=',', sep=';', row.names=FALSE)