library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
48282 <- sunrise.set(52.1749328,7.522652899999999, "2022/01/01", timezone="MET", num.days=370)
sunrise <- 48282$sunrise
sunset <- 48282$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
48282["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
48282["ss"] <- as.POSIXct(sunset, format = "%H:%M")
48282["timestamp"] <- align.time(48282$sunrise, 60*10)
48282 <- 48282[c("timestamp", "sr", "ss")]
locsrss <- ggplot(48282, aes(x=48282$timestamp)) + geom_line(aes(y=48282$sr)) + geom_line(aes(y=48282$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 48282 2022", x = "Datum", y = "Zeit")
pdf("48282_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="48282_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
48282["Sonnenaufgang"] <- strftime(48282$sr, format="%H:%M")
48282["Sonnenuntergang"] <- strftime(48282$ss, format="%H:%M")
write.table(48282, file="48282_SaSu.csv", dec=',', sep=';', row.names=FALSE)