Re: AI-GEOSTATS: Log transformation and zeros

2002-10-03 Thread Ernesto Jardim

Hi

I was investigating my data and it is possible to identifie areas of
zeros on the outside limits of the distribution, so it can be possible
to model the spatial behaviour in two steps. 

My guess is that I can simple reduce the kriging area to leave the zero
area out. 

My doubt is how to model boundaries. I'm sure this is a common problem,
so if you can give me some references I'll look forward to find them.

Thanks and regards

EJ

On Wed, 2002-10-02 at 19:33, Donald E. Myers wrote:
 Adding a constant to all values will shift the distribution but will not 
 change its shape. If the fraction of zeros is large then you will likely 
 not have a lognormal distribution and hence taking logs may not solve 
 the problem. If you intend using kriging (after applying a log 
 transform) then you will have to worry about the bias correction when 
 you re-transform, to do that the theoretical solution requires 
 multivariate lognormality (univariate is not sufficient).
 
 You might want to look at the spatial pattern of the zeros, i.e., is it 
 plausible to separate the data set spatially and have most of the zeros 
 in only one region?
 
 Donald E. Myers
 http://www.u.arizona.edu/~donaldm
 
 Ernesto Jardim wrote:
 
 Hi
 
 I'm analysing fisheries data (number of fish caught per hour) and I have
 some 0 values. When I log-trans I have to translate the values by hading
 some value.
 
 My question is which value is the best ? is there any works about this ?
 
 I usually had 1 so that I get values between 0 and infinite (no negative
 value) but I have doubts about it.
 
 Regards
 
 EJ
 
 
 
 
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AI-GEOSTATS: Log transformation and zeros

2002-10-02 Thread Ernesto Jardim

Hi

I'm analysing fisheries data (number of fish caught per hour) and I have
some 0 values. When I log-trans I have to translate the values by hading
some value.

My question is which value is the best ? is there any works about this ?

I usually had 1 so that I get values between 0 and infinite (no negative
value) but I have doubts about it.

Regards

EJ




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Re: AI-GEOSTATS: Log transformation and zeros

2002-10-02 Thread Isobel Clark

Ernesto

There are several ways of tackling skewed data with
zeroes and I am sure you will get emails from
proponents of this or that other contributor.

Ways which I have found useful:

(1) try a lognormal probability plot and see whether
you have a straight line or if it drops off the line
at low values. This is indicative of a three parameter
lognormal distribution which needs an additive
constant. Find the additive constant that makes the
line straightest (my criterion) or the skewness
closest to zero (Sichel's recommendation). You can
find this described in my 1987 paper following
Sichel's definitive works. Full copy at
http://uk.geocities.com/drisobelclark/resume/Publications.html
{paper titled turning the tables

(2) treat the zeroes as a different population. Are
they zero because there are no fish there or because
you didn't catch any? If the later, use an indicator
approach to separate the 'no fish' population from the
'some fish' one. Then do your lognormal stuff on the
'some fish' and recombine for final results.

(3) - not so nice: use the probability plot as
suggested above to choose a 'threshhold' value to
replace the zeroes. This assumes that all areas
sampled are 'some fish' areas and you just didn't
catch any.

Isobel Clark
http://uk.geocities.com/geoecosse/news.html

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Re: AI-GEOSTATS: Log transformation and zeros

2002-10-02 Thread Syed Abdul Rahman Shibli


If the skewness of the fish data is causing havoc to your
variograms try one of the more robust measures, i.e.
the family of relative variograms (general/pairwise), or the 
non-ergodic covariance. Transformation would mask the extreme
values which may or may not be very significant to your
problem domain. Thereafter krige within a limited search
neighborhood or try an indicator approach at various
thresholds.

Syed

 Original message 
Date: 02 Oct 2002 12:24:57 +0100
From: Ernesto Jardim [EMAIL PROTECTED]
Subject: AI-GEOSTATS: Log transformation and zeros
To: Mailing List AI-Geostats [EMAIL PROTECTED]

Hi

I'm analysing fisheries data (number of fish caught per hour) and I have
some 0 values. When I log-trans I have to translate the values by hading
some value.

My question is which value is the best ? is there any works about this ?

I usually had 1 so that I get values between 0 and infinite (no negative
value) but I have doubts about it.

Regards

EJ




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Re: AI-GEOSTATS: Log transformation and zeros

2002-10-02 Thread Ernesto Jardim

Hi

The data are not discrete. We collect number per hour, so it's a yield !

Thanks

EJ

On Wed, 2002-10-02 at 15:27, Nicholas Lewin-Koh wrote:
 Hi,
 If the data are counts, ie integer number of fish and not tons, you
 might want to try a discrete model such as a negative binomial or
 Poisson. I have listed some references below, the top two have a more
 Bayesian flavor.
 
 Nicholas
 
 
 Alexander, N., Moyeed, R., Stander, J. (2000).  Spatial modelling of
 individual-level parasite counts using the negative binomial
 distribution, Biostatistics, 2000, 1, 453-463.
 
 Diggle, P. J., Moyeed, R. A., Tawn, J. A. (1998).  Model-based
 geostatistics (with discussion), J. R. Statist. Soc. C, 47, 299-350.
 
 Gotway, C.A., Stroup, W.W. (1997) A Generalized Linear Model Approach
 to Spatial Data Analysis and Prediction. Journal of Agricultural, Bio-
 logical and Environmental Statistics 2(2), pp. 157­178.
 
 
 On Wed, 2002-10-02 at 19:24, Ernesto Jardim wrote:
  Hi
  
  I'm analysing fisheries data (number of fish caught per hour) and I have
  some 0 values. When I log-trans I have to translate the values by hading
  some value.
  
  My question is which value is the best ? is there any works about this ?
  
  I usually had 1 so that I get values between 0 and infinite (no negative
  value) but I have doubts about it.
  
  Regards
  
  EJ
  
  
  
  
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Re: AI-GEOSTATS: Log transformation and zeros

2002-10-02 Thread Ruben Roa

Hi

I'm analysing fisheries data (number of fish caught per hour) and I have
some 0 values. When I log-trans I have to translate the values by hading
some value.

I guess you mean you have to do something arbitrary about the zeros before
the log transform. The delta distribution is a generalization of the
lognormal for the presence of zeros. See:
Pennington M. 1983. EFFICIENT ESTIMATORS OF ABUNDANCE FOR FISH AND PLANKTON
SURVEYS. Biometrics 39:281-286.
If you are interested, i have template worksheets that compute the
statistics from delta/lognormal distributions, including confidence bounds,
by using Land's theory of linear combinations of the normal mean and
variance.
You can speak in Spanish to me if you feel more comfortable.
Saludos
Rubén
http://webmail.udec.cl

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