library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
27721 <- sunrise.set(53.1953433,8.7272731, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 27721$sunrise
sunset <- 27721$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
27721["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
27721["ss"] <- as.POSIXct(sunset, format = "%H:%M")
27721["timestamp"] <- align.time(27721$sunrise, 60*10)
27721 <- 27721[c("timestamp", "sr", "ss")]
locsrss <- ggplot(27721, aes(x=27721$timestamp)) + geom_line(aes(y=27721$sr)) + geom_line(aes(y=27721$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 27721 2024", x = "Datum", y = "Zeit")
pdf("27721_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="27721_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
27721["Sonnenaufgang"] <- strftime(27721$sr, format="%H:%M")
27721["Sonnenuntergang"] <- strftime(27721$ss, format="%H:%M")
write.table(27721, file="27721_SaSu.csv", dec=',', sep=';', row.names=FALSE)