Web-based tool for expert elicitation of the variogram

The variogram is the keystone of geostatistics. Estimation of the variogram is deficient and difficult when there are no or too few observations available due to budget constraints or physical and temporal obstacles. In such cases, expert knowledge can be an important source of information. Expert knowledge can also fulfil the increasing demand for an a priori variogram in Bayesian geostatistics and spatial sampling optimization. Formal expert elicitation provides a sound scientific basis to reliably and consistently extract knowledge from experts. In this study, we aimed at applying existing statistical expert elicitation techniques to extract the variogram of a regionalized variable that is assumed to have either a multivariate normal or lognormal spatial probability distribution from expert knowledge. To achieve this, we developed an elicitation protocol and implemented it as a web-based tool to facilitate the elicitation of beliefs from multiple experts. Our protocol has two main rounds: elicitation of the marginal probability distribution and elicitation of the variogram. The web-based tool has three main components: a web interface for expert elicitation and feedback; a component for statistical computation and mathematical pooling of multiple experts' knowledge; and a database management component. Results from a test case study show that the protocol is adequate and that the online elicitation tool functions satisfactorily. The web-based tool is free to use and supports scientists to conveniently elicit the variogram of spatial random variables from experts. The source code is available from the journal FTP site under the GNU General Public License.

[1]  A. O'Hagan,et al.  Statistical Methods for Eliciting Probability Distributions , 2005 .

[2]  Kerrie L. Mengersen,et al.  Elicitator: An expert elicitation tool for regression in ecology , 2010, Environ. Model. Softw..

[3]  P. Diggle,et al.  Bayesian Inference in Gaussian Model-based Geostatistics , 2002 .

[4]  Jeremy E. Oakley,et al.  Uncertain Judgements: Eliciting Experts' Probabilities , 2006 .

[5]  R. Webster,et al.  Sample adequately to estimate variograms of soil properties , 1992 .

[6]  Erik Lebret,et al.  The use of expert elicitation in environmental health impact assessment: a seven step procedure , 2010, Environmental health : a global access science source.

[7]  G. Reinds,et al.  Uncertainty assessment in modelling soil acidification at the European scale : A case study , 1999 .

[8]  Donald E. Myers On variogram estimation , 1991 .

[9]  Peter A. Dowd,et al.  The Variogram and Kriging: Robust and Resistant Estimators , 1984 .

[10]  J. Kadane,et al.  Experiences in elicitation , 1998 .

[11]  J. Chilès,et al.  Geostatistics: Modeling Spatial Uncertainty , 1999 .

[12]  Kerrie L. Mengersen,et al.  A software tool for elicitation of expert knowledge about species richness or similar counts , 2012, Environ. Model. Softw..

[13]  C. Peterson,et al.  MODE, MEDIAN, AND MEAN AS OPTIMAL STRATEGIES. , 1964, Journal of experimental psychology.

[14]  Eulogio Pardo-Igúzquiza,et al.  Bayesian Inference of Spatial Covariance Parameters , 1999 .

[15]  M. J. Pringle,et al.  Estimating Average and Proportional Variograms of Soil Properties and Their Potential Use in Precision Agriculture , 1999, Precision Agriculture.

[16]  Kerrie Mengersen,et al.  Elicitation by design in ecology: using expert opinion to inform priors for Bayesian statistical models. , 2009, Ecology.

[17]  D. Cornford,et al.  The uncertainty enabled model web (UncertWeb) , 2010 .

[18]  Randal J. Barnes,et al.  The variogram sill and the sample variance , 1991 .

[19]  Margaret A. Oliver,et al.  Variograms of Ancillary Data to Aid Sampling for Soil Surveys , 2003, Precision Agriculture.

[20]  Paul H. Garthwaite,et al.  Double- and single-bisection methods for subjective probability assessment in a location-scale family , 1985 .

[21]  Extension of spatial information, Bayesian kriging and updating of prior variogram parameters , 1995 .

[22]  Eulogio Pardo-Igúzquiza,et al.  Maximum Likelihood Estimation of Spatial Covariance Parameters , 1998 .

[23]  R. Reese Geostatistics for Environmental Scientists , 2001 .

[24]  G. Heuvelink,et al.  Optimization of sample patterns for universal kriging of environmental variables , 2007 .

[25]  G. Matheron Principles of geostatistics , 1963 .

[26]  Edzer J. Pebesma,et al.  Real-time automatic interpolation of ambient gamma dose rates from the Dutch radioactivity monitoring network , 2009, Comput. Geosci..

[27]  Kerrie Mengersen,et al.  Geographically Assisted Elicitation of Expert Opinion for Regression Models , 2007 .

[28]  Andrew Curtis The science of subjectivity , 2012 .

[29]  R. Lark Optimized spatial sampling of soil for estimation of the variogram by maximum likelihood , 2002 .

[30]  R. Cooke,et al.  Procedures Guide for Structural Expert Judgement in Accident Consequence Modelling , 2000 .

[31]  Anthony O'Hagan,et al.  Eliciting expert beliefs in substantial practical applications , 1998 .

[32]  Edzer J. Pebesma,et al.  Multivariable geostatistics in S: the gstat package , 2004, Comput. Geosci..

[33]  Margaret A. Oliver,et al.  Comparing sampling needs for variograms of soil properties computed by the method of moments and residual maximum likelihood , 2007 .

[34]  N. Cressie,et al.  Robust estimation of the variogram: I , 1980 .

[35]  R. M. Lark,et al.  Robust estimation of the variogram by residual maximum likelihood , 2007 .

[36]  Robert L. Winkler,et al.  Combining Probability Distributions From Experts in Risk Analysis , 1999 .

[37]  Eulogio Pardo-Igúzquiza,et al.  MLREML: a computer program for the inference of spatial covariance parameters by maximum likelihood and restricted maximum liklihood , 1997 .

[38]  Timothy C. Coburn,et al.  Geostatistics for Natural Resources Evaluation , 2000, Technometrics.

[39]  M. Oliver,et al.  Average variograms to guide soil sampling , 2004 .

[40]  Elmer B. Mode,et al.  Elements of Statistics , 1942, Agronomy Journal.

[41]  Tara G Martin,et al.  A guide to eliciting and using expert knowledge in Bayesian ecological models. , 2010, Ecology letters.

[42]  M. Kynn The ‘heuristics and biases’ bias in expert elicitation , 2007 .