library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
97711 <- sunrise.set(50.1832281,10.2760911, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 97711$sunrise
sunset <- 97711$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
97711["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
97711["ss"] <- as.POSIXct(sunset, format = "%H:%M")
97711["timestamp"] <- align.time(97711$sunrise, 60*10)
97711 <- 97711[c("timestamp", "sr", "ss")]
locsrss <- ggplot(97711, aes(x=97711$timestamp)) + geom_line(aes(y=97711$sr)) + geom_line(aes(y=97711$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 97711 2024", x = "Datum", y = "Zeit")
pdf("97711_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="97711_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
97711["Sonnenaufgang"] <- strftime(97711$sr, format="%H:%M")
97711["Sonnenuntergang"] <- strftime(97711$ss, format="%H:%M")
write.table(97711, file="97711_SaSu.csv", dec=',', sep=';', row.names=FALSE)