library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
06543_Falkenstein <- sunrise.set(51.66004476601729,11.314201354980468, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 06543_Falkenstein$sunrise
sunset <- 06543_Falkenstein$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
06543_Falkenstein["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
06543_Falkenstein["ss"] <- as.POSIXct(sunset, format = "%H:%M")
06543_Falkenstein["timestamp"] <- align.time(06543_Falkenstein$sunrise, 60*10)
06543_Falkenstein <- 06543_Falkenstein[c("timestamp", "sr", "ss")]
locsrss <- ggplot(06543_Falkenstein, aes(x=06543_Falkenstein$timestamp)) + geom_line(aes(y=06543_Falkenstein$sr)) + geom_line(aes(y=06543_Falkenstein$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 06543_Falkenstein 2023", x = "Datum", y = "Zeit")
pdf("06543_Falkenstein_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="06543_Falkenstein_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
06543_Falkenstein["Sonnenaufgang"] <- strftime(06543_Falkenstein$sr, format="%H:%M")
06543_Falkenstein["Sonnenuntergang"] <- strftime(06543_Falkenstein$ss, format="%H:%M")
write.table(06543_Falkenstein, file="06543_Falkenstein_SaSu.csv", dec=',', sep=';', row.names=FALSE)