library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
08626_Adorf <- sunrise.set(50.318997454677415,12.268381118774414, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 08626_Adorf$sunrise
sunset <- 08626_Adorf$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
08626_Adorf["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
08626_Adorf["ss"] <- as.POSIXct(sunset, format = "%H:%M")
08626_Adorf["timestamp"] <- align.time(08626_Adorf$sunrise, 60*10)
08626_Adorf <- 08626_Adorf[c("timestamp", "sr", "ss")]
locsrss <- ggplot(08626_Adorf, aes(x=08626_Adorf$timestamp)) + geom_line(aes(y=08626_Adorf$sr)) + geom_line(aes(y=08626_Adorf$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 08626_Adorf 2024", x = "Datum", y = "Zeit")
pdf("08626_Adorf_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="08626_Adorf_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
08626_Adorf["Sonnenaufgang"] <- strftime(08626_Adorf$sr, format="%H:%M")
08626_Adorf["Sonnenuntergang"] <- strftime(08626_Adorf$ss, format="%H:%M")
write.table(08626_Adorf, file="08626_Adorf_SaSu.csv", dec=',', sep=';', row.names=FALSE)