library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
60388 <- sunrise.set(50.1567167,8.768127499999991, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 60388$sunrise
sunset <- 60388$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
60388["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
60388["ss"] <- as.POSIXct(sunset, format = "%H:%M")
60388["timestamp"] <- align.time(60388$sunrise, 60*10)
60388 <- 60388[c("timestamp", "sr", "ss")]
locsrss <- ggplot(60388, aes(x=60388$timestamp)) + geom_line(aes(y=60388$sr)) + geom_line(aes(y=60388$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 60388 2024", x = "Datum", y = "Zeit")
pdf("60388_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="60388_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
60388["Sonnenaufgang"] <- strftime(60388$sr, format="%H:%M")
60388["Sonnenuntergang"] <- strftime(60388$ss, format="%H:%M")
write.table(60388, file="60388_SaSu.csv", dec=',', sep=';', row.names=FALSE)