library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
98701_B��hlen <- sunrise.set(50.5882702,11.04296690000001, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 98701_B��hlen$sunrise
sunset <- 98701_B��hlen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
98701_B��hlen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
98701_B��hlen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
98701_B��hlen["timestamp"] <- align.time(98701_B��hlen$sunrise, 60*10)
98701_B��hlen <- 98701_B��hlen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(98701_B��hlen, aes(x=98701_B��hlen$timestamp)) + geom_line(aes(y=98701_B��hlen$sr)) + geom_line(aes(y=98701_B��hlen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 98701_B��hlen 2023", x = "Datum", y = "Zeit")
pdf("98701_B��hlen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="98701_B��hlen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
98701_B��hlen["Sonnenaufgang"] <- strftime(98701_B��hlen$sr, format="%H:%M")
98701_B��hlen["Sonnenuntergang"] <- strftime(98701_B��hlen$ss, format="%H:%M")
write.table(98701_B��hlen, file="98701_B��hlen_SaSu.csv", dec=',', sep=';', row.names=FALSE)