library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
45131 <- sunrise.set(51.4296308,7.003900700000031, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 45131$sunrise
sunset <- 45131$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
45131["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
45131["ss"] <- as.POSIXct(sunset, format = "%H:%M")
45131["timestamp"] <- align.time(45131$sunrise, 60*10)
45131 <- 45131[c("timestamp", "sr", "ss")]
locsrss <- ggplot(45131, aes(x=45131$timestamp)) + geom_line(aes(y=45131$sr)) + geom_line(aes(y=45131$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 45131 2024", x = "Datum", y = "Zeit")
pdf("45131_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="45131_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
45131["Sonnenaufgang"] <- strftime(45131$sr, format="%H:%M")
45131["Sonnenuntergang"] <- strftime(45131$ss, format="%H:%M")
write.table(45131, file="45131_SaSu.csv", dec=',', sep=';', row.names=FALSE)