library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
79597 <- sunrise.set(47.6538453,7.6234412, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 79597$sunrise
sunset <- 79597$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
79597["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
79597["ss"] <- as.POSIXct(sunset, format = "%H:%M")
79597["timestamp"] <- align.time(79597$sunrise, 60*10)
79597 <- 79597[c("timestamp", "sr", "ss")]
locsrss <- ggplot(79597, aes(x=79597$timestamp)) + geom_line(aes(y=79597$sr)) + geom_line(aes(y=79597$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 79597 2024", x = "Datum", y = "Zeit")
pdf("79597_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="79597_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
79597["Sonnenaufgang"] <- strftime(79597$sr, format="%H:%M")
79597["Sonnenuntergang"] <- strftime(79597$ss, format="%H:%M")
write.table(79597, file="79597_SaSu.csv", dec=',', sep=';', row.names=FALSE)