library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
53229 <- sunrise.set(50.74773436528871,7.158372367675785, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 53229$sunrise
sunset <- 53229$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
53229["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
53229["ss"] <- as.POSIXct(sunset, format = "%H:%M")
53229["timestamp"] <- align.time(53229$sunrise, 60*10)
53229 <- 53229[c("timestamp", "sr", "ss")]
locsrss <- ggplot(53229, aes(x=53229$timestamp)) + geom_line(aes(y=53229$sr)) + geom_line(aes(y=53229$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 53229 2025", x = "Datum", y = "Zeit")
pdf("53229_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="53229_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
53229["Sonnenaufgang"] <- strftime(53229$sr, format="%H:%M")
53229["Sonnenuntergang"] <- strftime(53229$ss, format="%H:%M")
write.table(53229, file="53229_SaSu.csv", dec=',', sep=';', row.names=FALSE)