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)