library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
33178_Borchen,D <- sunrise.set(51.6530652,8.6993222, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 33178_Borchen,D$sunrise
sunset <- 33178_Borchen,D$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
33178_Borchen,D["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
33178_Borchen,D["ss"] <- as.POSIXct(sunset, format = "%H:%M")
33178_Borchen,D["timestamp"] <- align.time(33178_Borchen,D$sunrise, 60*10)
33178_Borchen,D <- 33178_Borchen,D[c("timestamp", "sr", "ss")]
locsrss <- ggplot(33178_Borchen,D, aes(x=33178_Borchen,D$timestamp)) + geom_line(aes(y=33178_Borchen,D$sr)) + geom_line(aes(y=33178_Borchen,D$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 33178_Borchen,D 2024", x = "Datum", y = "Zeit")
pdf("33178_Borchen,D_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="33178_Borchen,D_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
33178_Borchen,D["Sonnenaufgang"] <- strftime(33178_Borchen,D$sr, format="%H:%M")
33178_Borchen,D["Sonnenuntergang"] <- strftime(33178_Borchen,D$ss, format="%H:%M")
write.table(33178_Borchen,D, file="33178_Borchen,D_SaSu.csv", dec=',', sep=';', row.names=FALSE)