library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bad_lippspringe <- sunrise.set(51.7837494,8.8159083, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Bad_lippspringe$sunrise
sunset <- Bad_lippspringe$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bad_lippspringe["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bad_lippspringe["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bad_lippspringe["timestamp"] <- align.time(Bad_lippspringe$sunrise, 60*10)
Bad_lippspringe <- Bad_lippspringe[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bad_lippspringe, aes(x=Bad_lippspringe$timestamp)) + geom_line(aes(y=Bad_lippspringe$sr)) + geom_line(aes(y=Bad_lippspringe$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bad_lippspringe 2021", x = "Datum", y = "Zeit")
pdf("Bad_lippspringe_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bad_lippspringe_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bad_lippspringe["Sonnenaufgang"] <- strftime(Bad_lippspringe$sr, format="%H:%M")
Bad_lippspringe["Sonnenuntergang"] <- strftime(Bad_lippspringe$ss, format="%H:%M")
write.table(Bad_lippspringe, file="Bad_lippspringe_SaSu.csv", dec=',', sep=';', row.names=FALSE)