Description Details Author(s) References Examples
The VisCount package allows you to train rapid visual estimates of the number of individuals (symbols or pictures) in the plotting window, enter your estimates, and get a series of insightful statistics on your performance and how it evolves along different training sessions. It can also be a practical and economical tool for the training and calibration of field teams collecting information on the sizes of flocks or populations.
Package: | VisCount |
Type: | Package |
Version: | 1.1 |
Date: | 2014-10-14 |
License: | GPL-3 |
A. Marcia Barbosa Maintainer: A. Marcia Barbosa <barbosa@uevora.pt>
Barbosa A.M. (submitted) VisCount: a free software tool to train and evaluate visual count estimates.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 | ## Not run:
# BASIC WORKFLOW:
getSavedResults() # at the start of any new VisCount session
visCount() # repeat as desired (additional options below)
removeTypo() # if necessary
saveResults() # do this before quitting R
visCountStats()
# IN MORE DETAIL:
# load previous VisCount results
# (if you've used VisCount before on this computer):
getSavedResults()
# practise visCount and enter your estimates as prompted:
visCount() # repeat until bored
# practise also with different shapes, sizes, colours and backgrounds:
visCount(shape = "^", bg = "white")
visCount(shape = "~", size = 1.3)
visCount(shape = "x", size = 2, col = "brown")
visCount(shape = "Y", bg = "wheat")
# practise with different number limits
# (you can combine with any of the arguments above):
visCount(Nmax = 500, Nmin = 100)
# you can also use animal and/or background pictures in PNG format
# (you need to have the png R package installed for this);
# here are some examples with downloaded public domain images:
download.file(url = "http://viscount.r-forge.r-project.org/img/flamingo_flying.png",
destfile = "flamingo_flying.png")
download.file(url = "http://viscount.r-forge.r-project.org/img/clouds.png",
destfile = "clouds.png")
visCount(shape = "flamingo_flying.png", bg = "lightblue")
visCount(shape = "flamingo_flying.png", size = 0.5, bg = "clouds.png")
download.file(url = "http://viscount.r-forge.r-project.org/img/gull_standing.png",
destfile = "gull_standing.png")
download.file(url = "http://viscount.r-forge.r-project.org/img/water.png",
destfile = "water.png")
visCount(shape = "gull_standing.png", bg = "grey")
visCount(shape = "gull_standing.png", bg = "water.png")
# if your last estimate was a mistake, remove it from record:
removeTypo()
# check out your performance statistics:
visCountStats()
# remove particular trials (e.g. 3 and 7) from records and stats:
removeTypo(c(3, 7))
# check performance stats for particular sessions:
visCountStats(c(1, 3:7))
# before quitting R, save your results on disk for future use:
saveResults()
## End(Not run)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.