library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
68002_Gr. <- sunrise.set(40.447683,25.591792, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 68002_Gr.$sunrise
sunset <- 68002_Gr.$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
68002_Gr.["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
68002_Gr.["ss"] <- as.POSIXct(sunset, format = "%H:%M")
68002_Gr.["timestamp"] <- align.time(68002_Gr.$sunrise, 60*10)
68002_Gr. <- 68002_Gr.[c("timestamp", "sr", "ss")]
locsrss <- ggplot(68002_Gr., aes(x=68002_Gr.$timestamp)) + geom_line(aes(y=68002_Gr.$sr)) + geom_line(aes(y=68002_Gr.$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 68002_Gr. 2024", x = "Datum", y = "Zeit")
pdf("68002_Gr._SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="68002_Gr._SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
68002_Gr.["Sonnenaufgang"] <- strftime(68002_Gr.$sr, format="%H:%M")
68002_Gr.["Sonnenuntergang"] <- strftime(68002_Gr.$ss, format="%H:%M")
write.table(68002_Gr., file="68002_Gr._SaSu.csv", dec=',', sep=';', row.names=FALSE)