library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Brandenburg_an_der_havel <- sunrise.set(52.41556085961159,12.494005858898162, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Brandenburg_an_der_havel$sunrise
sunset <- Brandenburg_an_der_havel$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Brandenburg_an_der_havel["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Brandenburg_an_der_havel["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Brandenburg_an_der_havel["timestamp"] <- align.time(Brandenburg_an_der_havel$sunrise, 60*10)
Brandenburg_an_der_havel <- Brandenburg_an_der_havel[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Brandenburg_an_der_havel, aes(x=Brandenburg_an_der_havel$timestamp)) + geom_line(aes(y=Brandenburg_an_der_havel$sr)) + geom_line(aes(y=Brandenburg_an_der_havel$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Brandenburg_an_der_havel 2023", x = "Datum", y = "Zeit")
pdf("Brandenburg_an_der_havel_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Brandenburg_an_der_havel_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Brandenburg_an_der_havel["Sonnenaufgang"] <- strftime(Brandenburg_an_der_havel$sr, format="%H:%M")
Brandenburg_an_der_havel["Sonnenuntergang"] <- strftime(Brandenburg_an_der_havel$ss, format="%H:%M")
write.table(Brandenburg_an_der_havel, file="Brandenburg_an_der_havel_SaSu.csv", dec=',', sep=';', row.names=FALSE)