library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
46397_Bocholt <- sunrise.set(51.8446261,6.645786000000044, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 46397_Bocholt$sunrise
sunset <- 46397_Bocholt$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
46397_Bocholt["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
46397_Bocholt["ss"] <- as.POSIXct(sunset, format = "%H:%M")
46397_Bocholt["timestamp"] <- align.time(46397_Bocholt$sunrise, 60*10)
46397_Bocholt <- 46397_Bocholt[c("timestamp", "sr", "ss")]
locsrss <- ggplot(46397_Bocholt, aes(x=46397_Bocholt$timestamp)) + geom_line(aes(y=46397_Bocholt$sr)) + geom_line(aes(y=46397_Bocholt$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 46397_Bocholt 2024", x = "Datum", y = "Zeit")
pdf("46397_Bocholt_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="46397_Bocholt_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
46397_Bocholt["Sonnenaufgang"] <- strftime(46397_Bocholt$sr, format="%H:%M")
46397_Bocholt["Sonnenuntergang"] <- strftime(46397_Bocholt$ss, format="%H:%M")
write.table(46397_Bocholt, file="46397_Bocholt_SaSu.csv", dec=',', sep=';', row.names=FALSE)