library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
73257 <- sunrise.set(48.68673889999999,9.3520569, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 73257$sunrise
sunset <- 73257$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
73257["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
73257["ss"] <- as.POSIXct(sunset, format = "%H:%M")
73257["timestamp"] <- align.time(73257$sunrise, 60*10)
73257 <- 73257[c("timestamp", "sr", "ss")]
locsrss <- ggplot(73257, aes(x=73257$timestamp)) + geom_line(aes(y=73257$sr)) + geom_line(aes(y=73257$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 73257 2024", x = "Datum", y = "Zeit")
pdf("73257_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="73257_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
73257["Sonnenaufgang"] <- strftime(73257$sr, format="%H:%M")
73257["Sonnenuntergang"] <- strftime(73257$ss, format="%H:%M")
write.table(73257, file="73257_SaSu.csv", dec=',', sep=';', row.names=FALSE)