library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bottrop_ <- sunrise.set(51.529086,6.944688699999999, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bottrop_$sunrise
sunset <- Bottrop_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bottrop_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bottrop_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bottrop_["timestamp"] <- align.time(Bottrop_$sunrise, 60*10)
Bottrop_ <- Bottrop_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bottrop_, aes(x=Bottrop_$timestamp)) + geom_line(aes(y=Bottrop_$sr)) + geom_line(aes(y=Bottrop_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bottrop_ 2024", x = "Datum", y = "Zeit")
pdf("Bottrop__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bottrop__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bottrop_["Sonnenaufgang"] <- strftime(Bottrop_$sr, format="%H:%M")
Bottrop_["Sonnenuntergang"] <- strftime(Bottrop_$ss, format="%H:%M")
write.table(Bottrop_, file="Bottrop__SaSu.csv", dec=',', sep=';', row.names=FALSE)