library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
79594 <- sunrise.set(47.5891951,7.702359000000001, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 79594$sunrise
sunset <- 79594$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
79594["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
79594["ss"] <- as.POSIXct(sunset, format = "%H:%M")
79594["timestamp"] <- align.time(79594$sunrise, 60*10)
79594 <- 79594[c("timestamp", "sr", "ss")]
locsrss <- ggplot(79594, aes(x=79594$timestamp)) + geom_line(aes(y=79594$sr)) + geom_line(aes(y=79594$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 79594 2024", x = "Datum", y = "Zeit")
pdf("79594_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="79594_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
79594["Sonnenaufgang"] <- strftime(79594$sr, format="%H:%M")
79594["Sonnenuntergang"] <- strftime(79594$ss, format="%H:%M")
write.table(79594, file="79594_SaSu.csv", dec=',', sep=';', row.names=FALSE)