#' Plot raw annotations
#'
#' Visualizes the extracted annotations
#'
#' @param df annotations for a particular yearly section
#' @export
#'
plot_raw_annotations <- function(df){
# set colour scheme for plotting
colours = c('blue','green','black','purple','orange')
# return empty plot if values are NA or null
if (any(is.na(df)) | is.null(df)){
plot(1,type='n',xaxt='n',yaxt='n',xlab='',ylab='',bty='n')
}else{
x = df
x = cbind(rep(0,5),x,rep(0,5))
plot(rep(1,337),type='n',xlab='DOY (48 week year)',ylab='',ylim=c(0,60),
yaxt='n',
main=sprintf('summary statistics (max. # class. %s out of 10)',
max(df, na.rm=T)))
abline(v=seq(0,337,28),lwd=2,lty=2,col='grey')
abline(v=168,lwd=2,lty=2,col='black')
# add polygons to outline the shape of the raw classifications
for (i in 1:5){
s = x[i,]+(i*10)
polygon(c(0:337),s,c(337:0),rep(i*10,337), col = colours[i])
}
# add y-axis labels
text(y = seq(10, 50, by=10),
par("usr")[1],
labels = rev(c('flowering',
'fruiting',
'fruit drop',
'leaf dormancy',
'leaf turnover')),
srt = 45, pos=2, xpd=TRUE)
}
}
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