library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
35066_Frankenberg <- sunrise.set(51.0800893,8.782397, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 35066_Frankenberg$sunrise
sunset <- 35066_Frankenberg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
35066_Frankenberg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
35066_Frankenberg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
35066_Frankenberg["timestamp"] <- align.time(35066_Frankenberg$sunrise, 60*10)
35066_Frankenberg <- 35066_Frankenberg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(35066_Frankenberg, aes(x=35066_Frankenberg$timestamp)) + geom_line(aes(y=35066_Frankenberg$sr)) + geom_line(aes(y=35066_Frankenberg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 35066_Frankenberg 2024", x = "Datum", y = "Zeit")
pdf("35066_Frankenberg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="35066_Frankenberg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
35066_Frankenberg["Sonnenaufgang"] <- strftime(35066_Frankenberg$sr, format="%H:%M")
35066_Frankenberg["Sonnenuntergang"] <- strftime(35066_Frankenberg$ss, format="%H:%M")
write.table(35066_Frankenberg, file="35066_Frankenberg_SaSu.csv", dec=',', sep=';', row.names=FALSE)