library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
31691 <- sunrise.set(52.3029316,9.11533970000005, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 31691$sunrise
sunset <- 31691$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
31691["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
31691["ss"] <- as.POSIXct(sunset, format = "%H:%M")
31691["timestamp"] <- align.time(31691$sunrise, 60*10)
31691 <- 31691[c("timestamp", "sr", "ss")]
locsrss <- ggplot(31691, aes(x=31691$timestamp)) + geom_line(aes(y=31691$sr)) + geom_line(aes(y=31691$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 31691 2024", x = "Datum", y = "Zeit")
pdf("31691_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="31691_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
31691["Sonnenaufgang"] <- strftime(31691$sr, format="%H:%M")
31691["Sonnenuntergang"] <- strftime(31691$ss, format="%H:%M")
write.table(31691, file="31691_SaSu.csv", dec=',', sep=';', row.names=FALSE)