library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
22177 <- sunrise.set(53.614404444426064,10.073432922363281, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 22177$sunrise
sunset <- 22177$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
22177["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
22177["ss"] <- as.POSIXct(sunset, format = "%H:%M")
22177["timestamp"] <- align.time(22177$sunrise, 60*10)
22177 <- 22177[c("timestamp", "sr", "ss")]
locsrss <- ggplot(22177, aes(x=22177$timestamp)) + geom_line(aes(y=22177$sr)) + geom_line(aes(y=22177$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 22177 2021", x = "Datum", y = "Zeit")
pdf("22177_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="22177_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
22177["Sonnenaufgang"] <- strftime(22177$sr, format="%H:%M")
22177["Sonnenuntergang"] <- strftime(22177$ss, format="%H:%M")
write.table(22177, file="22177_SaSu.csv", dec=',', sep=';', row.names=FALSE)