library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
32584_Gohfeld <- sunrise.set(52.1969193,8.768334699999968, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 32584_Gohfeld$sunrise
sunset <- 32584_Gohfeld$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
32584_Gohfeld["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
32584_Gohfeld["ss"] <- as.POSIXct(sunset, format = "%H:%M")
32584_Gohfeld["timestamp"] <- align.time(32584_Gohfeld$sunrise, 60*10)
32584_Gohfeld <- 32584_Gohfeld[c("timestamp", "sr", "ss")]
locsrss <- ggplot(32584_Gohfeld, aes(x=32584_Gohfeld$timestamp)) + geom_line(aes(y=32584_Gohfeld$sr)) + geom_line(aes(y=32584_Gohfeld$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 32584_Gohfeld 2024", x = "Datum", y = "Zeit")
pdf("32584_Gohfeld_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="32584_Gohfeld_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
32584_Gohfeld["Sonnenaufgang"] <- strftime(32584_Gohfeld$sr, format="%H:%M")
32584_Gohfeld["Sonnenuntergang"] <- strftime(32584_Gohfeld$ss, format="%H:%M")
write.table(32584_Gohfeld, file="32584_Gohfeld_SaSu.csv", dec=',', sep=';', row.names=FALSE)