library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
79194 <- sunrise.set(48.0423901,7.866957299999967, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 79194$sunrise
sunset <- 79194$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
79194["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
79194["ss"] <- as.POSIXct(sunset, format = "%H:%M")
79194["timestamp"] <- align.time(79194$sunrise, 60*10)
79194 <- 79194[c("timestamp", "sr", "ss")]
locsrss <- ggplot(79194, aes(x=79194$timestamp)) + geom_line(aes(y=79194$sr)) + geom_line(aes(y=79194$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 79194 2025", x = "Datum", y = "Zeit")
pdf("79194_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="79194_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
79194["Sonnenaufgang"] <- strftime(79194$sr, format="%H:%M")
79194["Sonnenuntergang"] <- strftime(79194$ss, format="%H:%M")
write.table(79194, file="79194_SaSu.csv", dec=',', sep=';', row.names=FALSE)