library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
74927 <- sunrise.set(49.3148785,8.8710214, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 74927$sunrise
sunset <- 74927$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
74927["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
74927["ss"] <- as.POSIXct(sunset, format = "%H:%M")
74927["timestamp"] <- align.time(74927$sunrise, 60*10)
74927 <- 74927[c("timestamp", "sr", "ss")]
locsrss <- ggplot(74927, aes(x=74927$timestamp)) + geom_line(aes(y=74927$sr)) + geom_line(aes(y=74927$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 74927 2024", x = "Datum", y = "Zeit")
pdf("74927_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="74927_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
74927["Sonnenaufgang"] <- strftime(74927$sr, format="%H:%M")
74927["Sonnenuntergang"] <- strftime(74927$ss, format="%H:%M")
write.table(74927, file="74927_SaSu.csv", dec=',', sep=';', row.names=FALSE)