library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
8700_Horsens_Korning <- sunrise.set(55.859118,9.7083686, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 8700_Horsens_Korning$sunrise
sunset <- 8700_Horsens_Korning$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
8700_Horsens_Korning["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
8700_Horsens_Korning["ss"] <- as.POSIXct(sunset, format = "%H:%M")
8700_Horsens_Korning["timestamp"] <- align.time(8700_Horsens_Korning$sunrise, 60*10)
8700_Horsens_Korning <- 8700_Horsens_Korning[c("timestamp", "sr", "ss")]
locsrss <- ggplot(8700_Horsens_Korning, aes(x=8700_Horsens_Korning$timestamp)) + geom_line(aes(y=8700_Horsens_Korning$sr)) + geom_line(aes(y=8700_Horsens_Korning$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 8700_Horsens_Korning 2024", x = "Datum", y = "Zeit")
pdf("8700_Horsens_Korning_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="8700_Horsens_Korning_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
8700_Horsens_Korning["Sonnenaufgang"] <- strftime(8700_Horsens_Korning$sr, format="%H:%M")
8700_Horsens_Korning["Sonnenuntergang"] <- strftime(8700_Horsens_Korning$ss, format="%H:%M")
write.table(8700_Horsens_Korning, file="8700_Horsens_Korning_SaSu.csv", dec=',', sep=';', row.names=FALSE)