library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
59075 <- sunrise.set(51.69805492848835,7.768354886491352, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 59075$sunrise
sunset <- 59075$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
59075["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
59075["ss"] <- as.POSIXct(sunset, format = "%H:%M")
59075["timestamp"] <- align.time(59075$sunrise, 60*10)
59075 <- 59075[c("timestamp", "sr", "ss")]
locsrss <- ggplot(59075, aes(x=59075$timestamp)) + geom_line(aes(y=59075$sr)) + geom_line(aes(y=59075$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 59075 2024", x = "Datum", y = "Zeit")
pdf("59075_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="59075_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
59075["Sonnenaufgang"] <- strftime(59075$sr, format="%H:%M")
59075["Sonnenuntergang"] <- strftime(59075$ss, format="%H:%M")
write.table(59075, file="59075_SaSu.csv", dec=',', sep=';', row.names=FALSE)