library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
27628 <- sunrise.set(53.36783866835192,8.63898072263182, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 27628$sunrise
sunset <- 27628$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
27628["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
27628["ss"] <- as.POSIXct(sunset, format = "%H:%M")
27628["timestamp"] <- align.time(27628$sunrise, 60*10)
27628 <- 27628[c("timestamp", "sr", "ss")]
locsrss <- ggplot(27628, aes(x=27628$timestamp)) + geom_line(aes(y=27628$sr)) + geom_line(aes(y=27628$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 27628 2024", x = "Datum", y = "Zeit")
pdf("27628_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="27628_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
27628["Sonnenaufgang"] <- strftime(27628$sr, format="%H:%M")
27628["Sonnenuntergang"] <- strftime(27628$ss, format="%H:%M")
write.table(27628, file="27628_SaSu.csv", dec=',', sep=';', row.names=FALSE)