DENSITY 5.0 Frequently
asked questions
- How many captures and
recaptures do I need to use DENSITY?
It
is most critical to get enough recaptures. To estimate density
by
SECR you will probably need at least 10
recaptures, and 20 is a safer minimum. AIM FOR MANY MORE THAN THE
MINIMUM! Precision improves rapidly with additional recaptures, with
slowly diminishing returns over 50 or so (e.g. Efford, Dawson &
Robbins 2004 Fig. 2). Some studies have
many recaptures of few animals (<20 individuals); estimation is
possible, but confidence intervals will be very wide. To fit more
complicated models with covariates, finite mixtures, trends etc. you
will need more data.
- I cannot open the help
file. What is wrong?
First check that
there is a file Density5.chm
in the folder with Density5.exe. Density5.chm
is a compiled Windows help file, created with the Microsoft HTML help
compiler version 4.74. It is seen by the operating system as an executable
file, and treated by some systems as a security risk. This is
the
most likely cause of your problem. Try opening the help file from
Windows Explorer and overriding any security warning. If you downloaded
a 'naked' version of the help file then right-click on it, select Properties, click Unblock and Apply.
- Should I use R?
Almost certainly, yes. The R package secr greatly extends DENSITY.
Many more models can be fitted, and fits may easily be compared by AIC.
Spatial variation in density may be related to habitat variables. Model
averaging is enabled.
Complex sequences of data manipulation and analysis may be prepared as
R scripts. R can be impenetrable on first encounter, so we provide the
R interface in DENSITY as a bridge. The interface can translate most
of what you have been doing in DENSITY into R code. This excludes
simulation, for which the DENSITY Simulator is probably more powerful.
- What about Bayesian methods?
Andy
Royle and collaborators have recently shown how data augmentation and
Markov chain Monte Carlo methods may be used to fit some SECR models
(e.g., Royle & Young (2008) Ecology 89: 2281-2289; see also Marques et al. (2011) and Efford (2011)). So far,
these
are largely a subset of what is available in DENSITY and 'secr', but the approach
has potential advantages for modelling random effects. Sceptics will note the challenge of model
selection. Bayesian methods perform no better than the methods in DENSITY and can be much slower.
- Why are
the confidence intervals for estimated density so wide?
Perhaps you don't have enough data. More constructively: What is
the basis for your
comparison? If you are tempted to use N-hat/A-hat, make sure
you
include uncertainty in A-hat as well as N-hat (see Calculator on 'ETA
density tab'). Also, the default intervals reported from IP SECR
and
ML
SECR are for the expected population density; that is, they include
spatial process
variation in population density that is 'conditioned out' of
conventional ETA estimates (N-hat/A) (but not estimates
by conventional distance sampling). There are three ways to get
more comparable intervals from SECR (i) in Options | ML SECR set
Distribution to Binomial, (ii) use an estimate of the precision of
realised population size from Efford and Fewster (2012; see also 'secr'
function region.N) or (iii) from IP SECR use the Adjusted SE
(see Help index). And remember that your estimate of N-hat
will
have spurious precision if it does not model individual heterogeneity
due to home range location - this is automatic in SECR.
- The font in the Help file looks heavy and blurry. What can I do?
Open Internet Explorer and under Tools | Internet Options | Advanced | Multimedia switch off 'Always use Clear Type for HTML'. (Windows uses IE when displaying .chm files)
- Can I pool data from
different grids?
Yes. Set up the
capture file with the data for each grid as a separate 'session'.
In ML SECR pooling is achieved by defining a 'between-sessions'
model in which a parameter is constant across sessions. For
example, a single detection
parameter
may
be fitted across multiple grids. There is no facility for
estimating empirical (between-grids) encounter rate variance. For
IP SECR, the same trap layout must be used for each session. Use a
Session filter such as [1-3] to produce a combined
estimate. Usually you will want to use Options | Input 'Separate ID
each pooled session' and Options | Output 'Re-scale density from pooled
sessions' (both of these are on by default).
- Can I
manipulate the design matrix, as in MARK?
No. DENSITY
packages the ML SECR models you are likely to need so that you don't
have to wrestle with design matrices. You define models
in DENSITY
mostly by clicking options and entering covariates. The open-ended
style of MARK (and RMark) is very attractive, but we felt that novice SECR users
needed a
tighter and more prescriptive approach. A much more extensive model set is available in the R package secr; the R interface provided in DENSITY 5.0 should get you started.
- How can I run CAPTURE?
First you need the program - you can get it from the Patuxent software
archive maintained by Jim Hines. In 'Options | Closed N' browse to the
location of the CAPTURE executabl and download it to the folder with Density5.exe. Now you can run CAPTURE from the
CAPTURE tabbed page on the right of the main screen (assuming you have
loaded some data). Right-click on the task window to select tasks from
a popup menu. Be warned that CAPTURE can choke on very long
file
names, and there is a limit on the number of animals (at least
in
the Patuxent version).
- How should I be guided
by the model selection algorithm in CAPTURE?
For
non-spatial analyses you should be aware that the algorithm lacks power
and may mislead when data are sparse. For spatial analyses (IP SECR or
ML SECR) there is the added complication that the tests in CAPTURE
assess individual heterogeneity caused by animal location as a
violation of the null model, while the spatial 'null' model expects
this heterogeneity and allows for it. Nevertheless, test results from
CAPTURE showing a strong learned trap response should be taken
seriously.
- Why does the program
sometimes lock up?
I don't know. The
interface has a few low-priority bugs that surface mostly when exotic
(over-ambitious) models are fitted to small datasets. Please report and
move on :-). Ctrl-Alt-Del will bring up the Windows task manager so you
can end the Density process. Count to ten and remember what
you paid for it...
- Can I
display trap sites overlaid
on a GIS layer (raster map)?
Yes. See 'Background image' in the help index.
- What scale limitations
are there in DENSITY?
In principle, none. In practice, the interface works best for trap
spacings in whole metres.
- How should I
cite DENSITY?
The recommended citation for the present version of the software is
Efford MG 2012. Density 5.0:
software for spatially explicit capture-recapture. Department
of Mathematics and Statistics, University
of Otago, Dunedin,
New Zealand.
http://www.otago.ac.nz/density.
Citations for specific SECR
methods are in the References (see the Publications
page on
the website for the latest).
References