library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
53572 <- sunrise.set(50.6026941,7.252550700000029, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 53572$sunrise
sunset <- 53572$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
53572["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
53572["ss"] <- as.POSIXct(sunset, format = "%H:%M")
53572["timestamp"] <- align.time(53572$sunrise, 60*10)
53572 <- 53572[c("timestamp", "sr", "ss")]
locsrss <- ggplot(53572, aes(x=53572$timestamp)) + geom_line(aes(y=53572$sr)) + geom_line(aes(y=53572$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 53572 2024", x = "Datum", y = "Zeit")
pdf("53572_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="53572_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
53572["Sonnenaufgang"] <- strftime(53572$sr, format="%H:%M")
53572["Sonnenuntergang"] <- strftime(53572$ss, format="%H:%M")
write.table(53572, file="53572_SaSu.csv", dec=',', sep=';', row.names=FALSE)