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First Time At Niche Modeling?

This is a blog on the power of numeracy. My first book — Niche Modeling — is now in print.

The first six chapters are tutorial topics in R programming and theoretical topics in niche modeling: functions, data, spatial, topology, environmental data collections, and examples. The last six chapters are about using niche modeling to detect errors: bias, autocorrelation, non-linearity, long term persistence, circularity and fraud - useful information for any biological modeler.

About the Author

Filed under: Uncategorized — admin @ 5:41 pm

After receiving his Ph.D. degree in Ecosystem Dynamics from the Australian National University in 1992, Dr Stockwell worked as a consultant until moving to the San Diego Supercomputer Center at University of California San Diego in 1997. There he continued his work developing computational and data intensive methods of ecological niche modeling using museum collections data. Dr Stockwell has received grants from the NSF, USGS and DOT enabling him to develop software such as GARP (Genetic Algorithm for Rule-set Production) used in making outstanding contributions in many fields: modeling of invasive species, epidemiology of human diseases, the discovery of seven new species of Chameleon in Madagascar, and effects on species of climate change. Dr. Stockwell has published research articles in the major international journals Nature, Ecological Modelling, and the International Journal of Geographic Information Systems. He was recently judged by the US Immigration Service as an Outstanding Researcher, a category reserved for persons recognized internationally as outstanding in their academic field.

Selected Publications

Methods

Stockwell, David ; Shaner, Stephen ; Tate, D Jean; Bork, Karrigan ; Dougherty, Sean Integrating Transportation Network Data into Predictive Models for Invasive Species, Transportation Research Board Annual Meeting 2006 Paper #06-2416, (Abstract).

Sen Zhang Katherine G. Herbert Jason T. L. Wang William H. Piel, David R. B. Stockwell, (accepted) PhyloMiner: A Tool for Evolutionary Data Analysis, 18th International Conference on Scientific and Statistical Database Management, July 3-5, 2006, Vienna, Austria.

Stockwell, D.R.B. 2006. Reconstruction of past climate using series with red noise. Australian Institute of Geoscientists News, 83: pp14. PDF

David R.B. Stockwell, Improving ecological niche models by data mining large environmental datasets for surrogate models, Ecological Modelling 192 (2006) 188–196. PDF

Stockwell, D.R.B., Beach J.H., Stewart A., Vorontsov G., Vieglais D., and Scachetti Pereira R. 2006. The use of the GARP genetic algorithm and Internet grid computing in the Lifemapper world atlas of species biodiversity, Ecological Modelling. 195: 139-145. PDF

Stockwell, D.R.B. and Wang J.T.L., 2005. Biomonitoring, Phylogenetics and Anomaly Aggregation Systems, Lecture Notes in Computer Science, Volume 3495, Apr 2005, Pages 523 – 529

Linke, S., Norris, R.H., Faith, D.P. and Stockwell, D. 2005. ANNA: A new prediction method for bioassessment programs. Freshwater Biology 50:1, 147.

Stockwell DRB, Peterson AT, 2002. Effects of sample size on accuracy of species distribution models Ecological Modelling 148 (1): 1-13 FEB 1 2002 PDF

Stockwell D., A. Townsend Peterson, 2003. Comparison of resolution of methods used in mapping biodiversity patterns from point-occurrence data. Ecological Indicators 3 (2003) 213 221. PDF

Stockwell DRB, Noble IR, 1992. Induction of sets of rules from animal distribution data - a robust and informative method of data-analysis. Mathematics and Computers in Simulation 33 (5-6): 385-390 APR 1992 PDF

Stockwell D.R.B. and D. Peters 1999. The GARP Modeling System: problems and solutions to automated spatial prediction. International Journal of Geographical Information Science 13:2 143-158 PDF.

Stockwell, D.R.B. 1999 Genetic Algorithms II. Pp 123-144 in A.H. Fielding (ed) Machine Learning Methods for Ecological Applications. Kluwer Academic Publishers, Boston. 

Boston AN. and Stockwell DRB. 1995. Interactive species distribution reporting, mapping and modelling using the World Wide Web Computer Networks and ISDN Systems 28 (1995) 231-238 PDF

Stockwell DRB, Davey SM, Davis JR, Noble IR, 1990. Using induction of decision trees to predict Greater Glider density. AI Applications in Natural Resource Management 4 (4): 33-43 1990

Stockwell DRB. 1997. Generic Predictive Systems: An Empirical Evaluation Using the Learning Base System (LBS) Expert Systems Wirh Applications Vol. 12, No. 3, pp. 301-310, 1997 PDF

Applications

A. Townsend Peterson, Miguel A. Ortega-Huerta, Jeremy Bartley, Victor Sánchez-Cordero, Jorge Soberón, Robert H. Buddemeier, David R. B. Stockwell, Future projections for Mexican faunas under global climate change scenarios. Nature 416, 626 - 629 (11 Apr 2002) Letters to Nature. PDF

Joseph, L. and D.R.B. Stockwell, 2002. Climatic modeling of the distribution of some Pyrrhura parakeets of northwestern South America with notes on their systematics and special reference to Pyrrhura caeruleiceps Todd, 1947, Ornitologia Neotropical 13:1-8

Joseph, L. and D. Stockwell 2000. Temperature based models of the migration of Swainson’s flycatcher Myiarchus swainsoni across South America: a new use for museum specimens of migratory birds. Proceedings of the Academy of Natural Sciences 150.

Stockwell D.R.B. Image in 1999 Searching Museums from your desktop. Science 284: 888a (in News of the week) 

 Stockwell D.R.B. and A.T. Peterson 2001. Controlling bias during predictive modeling with museum data. In Scott J.M., Heglund P.J., Morrison M., Raphael M., Haufler J., Wall B., Samson F., eds. Predicting Plant, Animal and Fungi Occurrences: Issues of Scale and Accuracy, Clovelo (CA) Island Press 

Vieglais D.A., D.R.B Stockwell, C.M. Cundari, J. Beach, A.T. Peterson, and L. Krishtalka 1998. The species analyst: Tools enabling a comprehensive distributed biodiversity network. Biodiversity, Biotechnology & Biobusiness, 2nd Asia-Pacific Conference on Biotechnology, 23-27 November, Perth, Western Australia

Review documents

David R.B. Stockwell, Overview of Computational Biodiversity Research

David R.B. Stockwell, Progress in Biodiversity Modelling using Museum Data in Australia Transcript of presentation to Kansas Museum of Natural History

Peter Arzberger, David Stockwell, John Helly Supercomputer Center Collaborations with the Natural History Community: US-OBI and other examples Delivered at Association of Systematic Collections: Session on Informatics and Networking - The World Outside the Biological Collections Community, Atlanta on April 25, 1999

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