library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
74223 <- sunrise.set(49.5963249,18.1447788, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 74223$sunrise
sunset <- 74223$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
74223["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
74223["ss"] <- as.POSIXct(sunset, format = "%H:%M")
74223["timestamp"] <- align.time(74223$sunrise, 60*10)
74223 <- 74223[c("timestamp", "sr", "ss")]
locsrss <- ggplot(74223, aes(x=74223$timestamp)) + geom_line(aes(y=74223$sr)) + geom_line(aes(y=74223$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 74223 2024", x = "Datum", y = "Zeit")
pdf("74223_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="74223_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
74223["Sonnenaufgang"] <- strftime(74223$sr, format="%H:%M")
74223["Sonnenuntergang"] <- strftime(74223$ss, format="%H:%M")
write.table(74223, file="74223_SaSu.csv", dec=',', sep=';', row.names=FALSE)