library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Baddeckenstedt <- sunrise.set(52.0834931,10.2315074, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Baddeckenstedt$sunrise
sunset <- Baddeckenstedt$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Baddeckenstedt["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Baddeckenstedt["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Baddeckenstedt["timestamp"] <- align.time(Baddeckenstedt$sunrise, 60*10)
Baddeckenstedt <- Baddeckenstedt[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Baddeckenstedt, aes(x=Baddeckenstedt$timestamp)) + geom_line(aes(y=Baddeckenstedt$sr)) + geom_line(aes(y=Baddeckenstedt$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Baddeckenstedt 2024", x = "Datum", y = "Zeit")
pdf("Baddeckenstedt_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Baddeckenstedt_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Baddeckenstedt["Sonnenaufgang"] <- strftime(Baddeckenstedt$sr, format="%H:%M")
Baddeckenstedt["Sonnenuntergang"] <- strftime(Baddeckenstedt$ss, format="%H:%M")
write.table(Baddeckenstedt, file="Baddeckenstedt_SaSu.csv", dec=',', sep=';', row.names=FALSE)