library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) FKarlsruhe <- sunrise.set(49.009148,8.3799444, "2021/01/01", timezone="MET", num.days=370) sunrise <- FKarlsruhe$sunrise sunset <- FKarlsruhe$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") FKarlsruhe["sr"] <- as.POSIXct(sunrise, format = "%H:%M") FKarlsruhe["ss"] <- as.POSIXct(sunset, format = "%H:%M") FKarlsruhe["timestamp"] <- align.time(FKarlsruhe$sunrise, 60*10) FKarlsruhe <- FKarlsruhe[c("timestamp", "sr", "ss")] locsrss <- ggplot(FKarlsruhe, aes(x=FKarlsruhe$timestamp)) + geom_line(aes(y=FKarlsruhe$sr)) + geom_line(aes(y=FKarlsruhe$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - FKarlsruhe 2021", x = "Datum", y = "Zeit") pdf("FKarlsruhe_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="FKarlsruhe_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() FKarlsruhe["Sonnenaufgang"] <- strftime(FKarlsruhe$sr, format="%H:%M") FKarlsruhe["Sonnenuntergang"] <- strftime(FKarlsruhe$ss, format="%H:%M") write.table(FKarlsruhe, file="FKarlsruhe_SaSu.csv", dec=',', sep=';', row.names=FALSE)