library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
97074 <- sunrise.set(49.7801362,9.964734799999974, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 97074$sunrise
sunset <- 97074$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
97074["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
97074["ss"] <- as.POSIXct(sunset, format = "%H:%M")
97074["timestamp"] <- align.time(97074$sunrise, 60*10)
97074 <- 97074[c("timestamp", "sr", "ss")]
locsrss <- ggplot(97074, aes(x=97074$timestamp)) + geom_line(aes(y=97074$sr)) + geom_line(aes(y=97074$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 97074 2024", x = "Datum", y = "Zeit")
pdf("97074_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="97074_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
97074["Sonnenaufgang"] <- strftime(97074$sr, format="%H:%M")
97074["Sonnenuntergang"] <- strftime(97074$ss, format="%H:%M")
write.table(97074, file="97074_SaSu.csv", dec=',', sep=';', row.names=FALSE)