library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
77971 <- sunrise.set(48.2941197,7.8247466999999915, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 77971$sunrise
sunset <- 77971$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
77971["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
77971["ss"] <- as.POSIXct(sunset, format = "%H:%M")
77971["timestamp"] <- align.time(77971$sunrise, 60*10)
77971 <- 77971[c("timestamp", "sr", "ss")]
locsrss <- ggplot(77971, aes(x=77971$timestamp)) + geom_line(aes(y=77971$sr)) + geom_line(aes(y=77971$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 77971 2024", x = "Datum", y = "Zeit")
pdf("77971_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="77971_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
77971["Sonnenaufgang"] <- strftime(77971$sr, format="%H:%M")
77971["Sonnenuntergang"] <- strftime(77971$ss, format="%H:%M")
write.table(77971, file="77971_SaSu.csv", dec=',', sep=';', row.names=FALSE)