library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
32130 <- sunrise.set(52.14755760000001,8.54772, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 32130$sunrise
sunset <- 32130$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
32130["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
32130["ss"] <- as.POSIXct(sunset, format = "%H:%M")
32130["timestamp"] <- align.time(32130$sunrise, 60*10)
32130 <- 32130[c("timestamp", "sr", "ss")]
locsrss <- ggplot(32130, aes(x=32130$timestamp)) + geom_line(aes(y=32130$sr)) + geom_line(aes(y=32130$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 32130 2024", x = "Datum", y = "Zeit")
pdf("32130_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="32130_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
32130["Sonnenaufgang"] <- strftime(32130$sr, format="%H:%M")
32130["Sonnenuntergang"] <- strftime(32130$ss, format="%H:%M")
write.table(32130, file="32130_SaSu.csv", dec=',', sep=';', row.names=FALSE)