library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
51429 <- sunrise.set(50.968061,7.2024025, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 51429$sunrise
sunset <- 51429$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
51429["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
51429["ss"] <- as.POSIXct(sunset, format = "%H:%M")
51429["timestamp"] <- align.time(51429$sunrise, 60*10)
51429 <- 51429[c("timestamp", "sr", "ss")]
locsrss <- ggplot(51429, aes(x=51429$timestamp)) + geom_line(aes(y=51429$sr)) + geom_line(aes(y=51429$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 51429 2024", x = "Datum", y = "Zeit")
pdf("51429_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="51429_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
51429["Sonnenaufgang"] <- strftime(51429$sr, format="%H:%M")
51429["Sonnenuntergang"] <- strftime(51429$ss, format="%H:%M")
write.table(51429, file="51429_SaSu.csv", dec=',', sep=';', row.names=FALSE)