library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
10117 <- sunrise.set(52.5155098,13.384753899999964, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 10117$sunrise
sunset <- 10117$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
10117["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
10117["ss"] <- as.POSIXct(sunset, format = "%H:%M")
10117["timestamp"] <- align.time(10117$sunrise, 60*10)
10117 <- 10117[c("timestamp", "sr", "ss")]
locsrss <- ggplot(10117, aes(x=10117$timestamp)) + geom_line(aes(y=10117$sr)) + geom_line(aes(y=10117$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 10117 2024", x = "Datum", y = "Zeit")
pdf("10117_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="10117_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
10117["Sonnenaufgang"] <- strftime(10117$sr, format="%H:%M")
10117["Sonnenuntergang"] <- strftime(10117$ss, format="%H:%M")
write.table(10117, file="10117_SaSu.csv", dec=',', sep=';', row.names=FALSE)