library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
85386 <- sunrise.set(48.3005613,11.6292346, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 85386$sunrise
sunset <- 85386$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
85386["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
85386["ss"] <- as.POSIXct(sunset, format = "%H:%M")
85386["timestamp"] <- align.time(85386$sunrise, 60*10)
85386 <- 85386[c("timestamp", "sr", "ss")]
locsrss <- ggplot(85386, aes(x=85386$timestamp)) + geom_line(aes(y=85386$sr)) + geom_line(aes(y=85386$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 85386 2025", x = "Datum", y = "Zeit")
pdf("85386_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="85386_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
85386["Sonnenaufgang"] <- strftime(85386$sr, format="%H:%M")
85386["Sonnenuntergang"] <- strftime(85386$ss, format="%H:%M")
write.table(85386, file="85386_SaSu.csv", dec=',', sep=';', row.names=FALSE)