Peter W.jpg

Associate Professor Peter Whigham BSc(Hons)(ANU), PhD(NSW)


Room: 11.04, Commerce
Phone: 479 7391
Email: pwhigham@infoscience.otago.ac.nz
Supervising: Kimberley Harris, Rasika Withanawasam
Co-supervising: Geoff Hay, Jacqui Nielsen

Associate Professor Peter A Whigham is Director of the Spatial Information Research Centre (SIRC) and actively pursues research interests in spatial modelling, theoretical population genetics and evolutionary computation models. Dr Whigham’s interests include many aspects of spatial research including the use of machine learning techniques for modelling spatio-temporal patterns and the use of spatial systems for modelling ecological behaviour, aspects of public health and theoretical population genetics. He also performs basic research in the field of evolutionary computation, especially genetic programming. His teaching interests include spatial modelling and analysis, intelligent information systems and applied ecology. Current PhD students are performing research in ecology, new forms of information systems and financial modelling.

Related pages: Spatial Information Research Centre
Related papers: INFO251, INFO331


Book Chapters:

  1. Whigham, P.A. Applying case-based reasoning to explore freshwater phytoplankton dynamics.  In Modelling Community Structure in Freshwater Ecosystems, Lek, S.; Scardi, M.; Verdonschot, P.F.M.; Descy, J.-P.; Park, Y.-S. eds. Springer Berlin Heidelberg New York, 263-272 (2005) [ISBN: 3-540-23940-5
  2. Whigham, P.A. and Fogel, G.B. Ecological Applications of Evolutionary Algorithms. In Ecological Informatics: Understanding Ecology by Biologically Inspired Computation. F. Recknagel ed. Springer-Verlag, New York, 49-72 (2002) [ISBN 3540434550]
  3. Whigham, P.A. and Crapper, P.F. Time series modelling using genetic programming: An application to rainfall-runoff models. In Advances in Genetic Programming 3.: L. Spector, W.B. Langdon, U. O'Reilly and P.J.Angeline eds. MIT Press Cambridge MA USA, (1999) 89-104 [ISBN 0-262-19423-6]
  4. Davis, J.R., Whigham, P.A. and Grant, I.W. Representing and applying knowledge about spatial processes in environmental management.  In Introductory Readings in Geographic Information Systems. D.J. Peuquet and D.R. Marble eds. Taylor and Francis: London, 195-207 (1990) [ISBN 0850668565]

Journal Articles

  1. A. Mark & P.A. Whigham “Disturbance-induced changes in a high-alpine cushionfield community, south central New Zealand Austral Ecology (accepted Aug 2010), doi: 10.1111/j.1442-9993.2010.02193.x
  2. G. Dick & P.A. Whigham.  Weighted Local Sharing and local clearing for multimodal optimization” Soft Computing  (in press) 1-15 (2010).
  3. R. McKay, Hoai, N.X., Whigham, P.A., Shan,Y. and O’Neill, M. “Grammar-based Genetic Programming: A review”, Genetic Programming and Evolvable Machines, 11(3-4) 365-396 (2010)
  4. Whigham, P.A. & G. Dick.  Implicitly Controlling Bloat in GP.  Accepted IEEE Transactions on Evolutionary Computation, 14(2) 173-190 (2010)  DOI: 10.1109/TEVC.2009.2027314
  5. Hay, G., Whigham, P.A., Kypri, K and Langley, J. Neighbourhood deprivation and access to alcohol outlets: A national study.  Health and Place. Vol 15. 1086-1093. doi: 10.1016/j.healthplace.2009.05.008 (2009).
  6. Hay, G., Kypri, K., Whigham, P.A. and Langley, J. Potential biases due to geocoding error in spatial analyses of official data.  Health and Place 15, 562-567, (2009).
  7. Whigham, P.A., Dick, G. and Spencer, H.J. Genetic Drift on Networks: Ploidy and the Time to Fixation, Theoretical Population Biology 74(4), 283-290, doi:10.1016/j.tpb.2008.08.004 (2008).
  8. Francisco, E., Whigham, P.A., Aranha, F., Zambaldi, F. and Ponchio, M. A Consumer Income predicting model based on survey data: An analysis using Geographically Weighted Regression (GWR).  Latin American Advances in Consumer Research, 2, (2008).
  9. Dick, G. and Whigham, P.A. Spatially-Structured Sharing Techniques for Multimodal problems, J. Computer Science and Technology, 23(1) 64-76 (2008).
  10. Whigham, P.A. and Dick, G. Evolutionary dynamics for the spatial Moran process, Genetic Programming and Evolvable Machines, 9(2),157-170 (2008).
  11. Hammam, Y., Moore, A. and Whigham, P.A. The dynamic geometry of geographical vector agents.  Computers, Environments and Urban Systems, 31, 502-519 (2007). Available as: geographical_vector_agents.pdf
  12. Kim, D.K., Jeong, K., Whigham, P.A. and Joo, G. Winter Diatom blooms in a regulated river in South Korea: explanations based on Evolutionary Computation. Freshwater Biology, 52(10), 2021-2041  (2007). Available as: diatom_blooms.pdf
  13. Whigham, P.A. Visualising and assessing the probable error from downscaling ecological time-series data.  Journal of Ecological Informatics, 1(3), 307-314, (2006). Available as: Downscaling.pdf
  14. Whigham, P.A., Dick, G. and Recknagel, F. Exploring seasonal patterns using process modelling and evolutionary computation, Journal of Ecological Modelling, 195(1-2), 146-152, (2006). Available as: Seasonal_patterns.pdf
  15. Wang, X, Whigham, P.A., Deng, D and Purvis, M. “Time Line” Hidden Markov Experts for Time Series Prediction, Neural Information Processing – Letters and Reviews, 3(2) pp 39-47, (2004).
  16. Jeong K S, Kim D K, Whigham P.A., and Joo GJ. Modelling Microcystis aeruginosa bloom dynamics in the Nakdong River by means of evolutionary computation and statistical approach, Journal of Ecological Modelling, 161 (1-2), pp 67-78, (2003). Available as: Nakdong_river_bloom.pdf
  17. Recknagel, F., Bobbin, J., Whigham, P.A. and Wilson, H. Comparative Application of Artificial Neural Networks and Genetic Algorithms for Multivariate Time Series Modelling of Algal Blooms in Freshwater Lakes, HydroInformatic 4(2) pp 125-134, (2002).
  18. Whigham, P.A. and Recknagel, F. An inductive approach to ecological time series modelling by evolutionary computation, Journal of Ecological Modelling,146(1-3), pp 275-287, (2001). Available as: evol_comp_time_series.pdf
  19. Whigham, P.A. and Recknagel, F.  Predicting chlorophyll-a in freshwater lakes by hybridising process-based models and genetic algorithms, Journal of Ecological Modelling,146(1-3), pp 243-251 (2001). Available as: chla_process_model.pdf
  20. Whigham, P.A., Young, W.J. Modelling River and Floodplain Interactions for Ecological Response.  Mathematical and Computer Modelling 33(6-7), Integrated Modelling and Estimation, A. McDonald & T. Beer (Eds) 635-647 (2001).
  21. Whigham, P.A. and Crapper, P.F.  Modelling Rainfall-runoff using Genetic Programming. Mathematical and Computer Modelling 33(6-7), Integrated Modelling and Estimation, A. McDonald & T. Beer (Eds) 707-721 (2001).
  22. Whigham, P.A. Induction of a marsupial density model using genetic programming and spatial relationships.  Journal of Ecological Modelling,131, 299-317 (2000).  Available as: spatial_gp_density_model.pdf
  23. Davis, J.R., Cuddy, S.M., Laut, P., Goodspeed,J. and Whigham,P.A. Testing a Soil Moisture Prediction model for army land managers.  ASCE J. Irrigation and Drainage Engineering 117(4) 476-489 (1991).
  24. Cuddy, S.M., Laut, P., Davis, J.R., Whigham, P.A., Goodspeed,J. and Duell, T. Modelling the environmental effects of training on a major Australian Army Base. Mathematics and Computers in Simulation 32 83-88 (1990).
  25. Davis, J.R., Whigham, P.A. and Grant, I.W. Representing Knowledge about spatial processes in Environmental Management. AI Applications in Natural Resource Management 2(4) 17-25 (1988).

Selected Conference Papers:

  1. Whigham, P.A., Withanawasam R., Crack, T. and I.M. Premachandra “Evolving trading strategies for a limit-order Market”, WCCI 2010 IEEE World Congress on Computational Intelligence July, 18-23, 2010 - CCIB, Barcelona, Spain, 2467 - 2474 (2010).
  2. Whigham, P.A., Aldridge, C. & M. de Lange. Constrained Evolutionary Art: Interactive Flag Design.  Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 2194-2200, ISBN 978-1-4244-2959-2, Trondheim, Norway (2009).
  3. G. Dick  and P.A. Whigham. A Weighted local sharing technique for Multimodal Optimisation. Simulated Evolution and Learning. Simulated Evolution and Learning (SEAL 2008). Lecture Notes in Computer Science LNCS 5361, 452-461, (2008)
  4. Whigham, P.A. and Dick. G.  Exploring the use of ancestry as a unified model of finite population evolution.  Proceedings of the IEEE Congress on Evolutionary Computation and World Congress on Computational Intelligence (WCCI 2008), 3734-3740, Hong Kong. (2008).
  5. Whigham, P.A.  Keep your eye on the ball: Revisiting a mouse-based spatio temporal collection approach for rugby union.  The 20th Annual Colloquium of the Spatial Information Research Centre & GeoComputation 2008. P.A. Whigham, I. Drecki & A. Moore (eds) (2008) pp 17-27. ISBN 978-0-473-14010-6
  6. Whigham, P.A. and Dick, G. How does Space alter the formation of Evolutionary Models?. In: The 18th Annual Colloquium of the Spatial Information Research centre. Dunedin, New Zealand.  P.A. Whigham (ed). (2006) pp 79-83. ISBN 0-473-11749-5.  Available as: Whigham_SIRC2006.pdf
  7. Dick, G. and Whigham, P.A. Multimodal Optimisation with Structured Populations and Local Environments. In: Simulated Evolution and Learning, Lecture Notes in Computer Science 4247, 505-512, Springer-Verlag, 2006, [ISBN 3-540-47331-9].  Available as local_gradients.pdf
  8. Middlemiss, M. and Whigham, P.A. Innate and Adaptive principles for an Artificial Immune System. In: Simulated Evolution and Learning, Lecture Notes in Computer Science 4247, 88-95, Springer-Verlag, 2006, [ISBN 3-540-47331-9].  Available as: immune_model.pdf
  9. Dick, G. and Whigham, P.A. Spatially-structured Evolutionary Algorithms and Sharing: Do they mix? In: Simulated Evolution and Learning, Lecture Notes in Computer Science 4247, 457-464, Springer-Verlag, 2006, [ISBN 3-540-47331-9].  Available as sharing.pdf
  10. Whigham, P.A. Local Modelling by SOM partitions and linear regression for Ecological Modelling. In Zerger, A. and Argent, R.M. (eds) MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2005, pp. 1319- 1325. ISBN: 0-9758400-2-9. (2005).  Available as MODSIM2005.pdf
  11. Dick, G. and Whigham, P.A. The Behaviour of Genetic Drift in a Spatially-Structured Evolutionary Algorithm, In Corne, D., Michalewicz, Z., McKay, B, Eiben, G. Fogel, D., Fonseca, C., Greenwood, G. Raidl, G. Tan, K.C. Zalzala, A. (eds).  Proceedings of the 2005 Congress on Evolutionary  Computation, Vol, 2. Edinburgh, Scotland, UK, IEEE Press, 1855-1860. (2005)  Available as Drift_CEC2005
  12. McKay, R.I., Nguyen, X.H., Whigham, P.A. and Shan, Y. Grammars in Genetic Programming: A Brief Review, in Progress in Intelligence Computation and Intelligence: Proceedings of the International Symposium on Intelligence, Computation and Applications Kang, L. Cai, Z. and Yan, Y. (eds). China University of Geosciences Press, Wuhan, PRC, 3-18, ISBN 7-5625-1983-8 (2005)
  13. Whigham, P.A. and Dick, G. Fixation of Neutral Alleles in Spatially Structured  Populations via Genetic Drift: Describing the spatial structures of faster-than-panmictic configurations. The 17th Annual Colloquium of the Spatial Information Research Centre. Dunedin, New Zealand.  P.A. Whigham (ed). (2005) pp 81-90. ISBN 1-877139-90-4
  14. Jakoby, O. and Whigham, P.A.  Genetic tradeoff as a model for parapatric speciation. The 17th Annual Colloquium of the Spatial Information Research centre. Dunedin, New Zealand.  P.A. Whigham (ed). (2005) pp 199-205. ISBN 1-877139-90-4
  15. Dick, G. and Whigham, P.A.  Discovering Population Structures with Extreme Fixation Rates via Evolutionary Search. The 17th Annual Colloquium of the Spatial Information Research centre. Dunedin, New Zealand.  P.A. Whigham (ed). (2005) pp 175-179. ISBN 1-877139-90-4
  16. Whigham, P.A.  Keep your eye on the ball: Local versus global statistics in sport visualisation. The 17th Annual Colloquium of the Spatial Information Research centre. Dunedin, New Zealand.  P.A. Whigham (ed). (2005) pp 137-142. ISBN 1-877139-90-4
  17. Dameh, M., Whigham, P.A., Stanton, J. and Green, D. Spatial Location of Genes within cells in Gene interaction networks. The 16th Annual Colloquium of the Spatial Information Research Centre. Dunedin, New Zealand. P.A. Whigham and B.R. McLennan (eds.) (2004)  pg. 57, ISBN 1-877139-74-2.
  18. Halloy, S. and Whigham, P.A. The log normal as universal descriptor of unconstrained complex systems: a unifying theory of complexity. Proceedings of the 7th Asia-Pacific Complex Systems Conference. Stonier, R., Qing-Long, H. and Wei, L. (Eds). Cairns Convention Centre, Cairns, QLD, Australia 309-320. (2004).
  19. Whigham, P.A. and Green, D. A Spatially-Explicit model of Genetic Tradeoff. Proceedings of the 7th Asia-Pacific Complex Systems Conference. Stonier, R.,Qing-Long, H. and Wei, L. (Eds). Cairns Convention Centre, Cairns, QLD, Australia 91-100.  (2004).
  20. Jang, D. ,Whigham, P.A. and G. Dick.  On Evolving Fixed Pattern Strategies for Iterated Prisoner’s Dilemma. Australian Computer Science Communication, 26(1), 241-248. V. Estivill-Castro (ed). Australian Computer Society Inc. (2004).
  21. Whigham, P.A. The Use of Boundary conditions for Inductive Models. The 16th Annual Colloquium of the Spatial Information Research Centre. Dunedin, New Zealand. P.A. Whigham and B.R. McLennan (eds.) (2004) pp. 63-69. (2004) ISBN 1-877139-74-2.
  22. Whigham, P.A. Criticality and Biodiversity, Proceedings of the Congress on Evolutionary Computation 2003, Canberra, Australia, IEEE Press (2003). 2362- 2369, ISBN 0-7803-7804-0.
  23. Hammam, Y, Moore, A, Whigham, P. and Freeman, C. 2003. Towards the modelling of sustainable cities with multi-reactive agents. Proceedings of  GeoComputation 2003, University of Southampton, UK, CD-ROM.
  24. Moore, A, Mason, C, Whigham, P. and Thompson-Fawcett, M. 2003. The Use of the Circle Tree for the Efficient Storage of Polygons. Proceedings of  GeoComputation 2003, University of Southampton, UK, CD-ROM.
  25. Moore, A, Whigham, P., Holt, A, Aldridge, C and Hodge, K. 2003. A Time Geography Approach to the Visualisation of Sport. Proceedings of GeoComputation 2003, University of Southampton, UK, CD-ROM.
  26. Dick, G. and Whigham, P.A. Spatially-Constrained Selection in Evolutionary Computation. Proceedings of the 6th Australasia-Japan Joint Workshop on Intelligent and Evolutionary Systems.  30-1 Dec.  R. Sarker, B. McKay, M. Gen   and A. Namatame (eds).  Ashikaga Institute of Technology.  ISBN 0-7317-0505-X (2002) 93-101.
  27. Lane, T. and Whigham, P.A. Protein structure comparison: The quest for a meaningful measure of similarity. The 14th Annual Colloquium of the Spatial Information Research Centre.  Dunedin, New Zealand, P.A. Whigham ed. (2002) 167-175.
  28. Moore, A., Whigham, P.A., Aldridge, C., Holt, A. and Hodge, K. Rugby: (a) union of space and time.  The 13th Annual Colloquium of the Spatial Information Research Centre.  Dunedin, New Zealand P.A. Whigham ed. (2001) 183-194,ISBN 1-877139-41-6.
  29. Whigham, P.A. and J. Keukelaar. Evolving Structure - Optimising Content. Proceedings of the 2001 Congress on Evolutionary Computation, May 27-30, COEX, Seoul, Korea. 1228-1235. Available as optimisecec2001.pdf.
  30. Whigham, P.A. Spatio-temporal Modelling using Video Input. The 12th Annual Colloquium of the Spatial Information Research Centre. Dunedin, New Zealand. P.A. Whigham ed. (2000) 181-186. Available as video.pdf.
  31. Li, Y., Benwell, G., Whigham, P.A. and Mulgan, N. "An Agent-oriented software engineering paradigm and the design of a new generation of spatial information system." The 12th Annual Colloquium of the Spatial Information Research Centre. Dunedin, New Zealand. P.A. Whigham ed. (2000) 165-179. Available as agent.pdf.
  32. Whigham, P.A. and Reckangel, F. "Evolving Difference Equations to Model Freshwater Phytoplankton" Proceedings of the 2000 Congress on Evolutionary Computation, July 16-19, La Jolla, California, USA.967-973. (2000). Available as cec2000.zip.
  33. Li, Y. and Whigham, P.A. "Some Core Issues in Design for a General Purpose Three Dimensional Spatial Information System." The 11th Annual Colloquium of the Spatial Information Research Centre. Whigham, P.A. (ed). 267-276,1999. Available as 3dgis.zip.
  34. Smith, L. and Whigham, P.A. "Spatial Aspects of Vineyard Management and Wine Grape Production." The 11th Annual Colloquium of the Spatial Information Research Centre. Whigham, P.A. (ed). 171-182, 1999. Available as viti.zip.
  35. Whigham, P.A. and Recknagel, F. "Predictive Modelling of Plankton Dynamics in Freshwater Lakes using Genetic Programming." International Congress on Modelling and Simulation. Oxel, L. and Scrimgeour, F. (eds). 679-684, 1999. Available as algalgp.zip.
  36. Young, W., Booty, W., Whigham, P.A. and Lam, D. "Integrated Assessments of River Health using Decision Support Software," Presented at ISESS 1999, University of Otago, Dunedin, New Zealand, Aug. 30-Sep.2nd, 1999.
  37. McKay, R., Pearson, R. and Whigham, P.A. "Learning Spatial Relationships: Some Approaches." The 2nd Annual Conference on GeoComputation, incorporating the Spatial Information Research Centre’s 9th Annual Colloquium, 1997.
  38. Whigham, P.A. "Evolving a Program defined by a Formal Grammar." The Fourth International Conference on Neural Information Processing -- The Annual Conference of the Asian Pacific Neural Network Assembly (ICONIP'97), 1997.
  39. Whigham, P.A. Young, W.J and Scott, A.C. "Modelling River and Floodplain Interactions for Ecological Response." International Congress on Modelling and Simulation, McDonald, D and McAleer, M. (eds), 1997.
  40. P.A. Whigham, ``Search bias, language bias and genetic programming ,'' Genetic Programming 1996: Proceedings of the First Annual Conference, Koza, John R., Goldberg, David E., Fogel, David B., and Riolo, Rick L. (editors). July 28-31, 1996, Stanford University, Cambridge, MA: MIT Press. Available as gp96.zip.
  41. P.A. Whigham, ``Inductive Bias and Genetic Programming,'' First International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, UK:IEE, pp.461-466, September 1995. Available as galesia.zip.
  42. P.A. Whigham, ``Grammatically-based Genetic Programming,'' Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications, J.Rosca (ed.), Morgan Kaufmann Pub., pp.33-41, July 1995. Available as ml95.zip.
  43. P.A. Whigham, ``A Schema Theorem for Context-Free Grammars,'' Proceedings of the 1995 IEEE International Conference on Evolutionary Computation, Piscataway, NJ, USA:IEEE Press, Vol. 1, pp.178-182, December 1995. Available as schema.zip.
  44. Whigham,P.A. and McKay, R. "Genetic Approaches to learning recursive relations." X. Yao (Ed), Lecture Notes in Artificial Intelligence, 956, Progress in Evolutionary Computation, Springer, 1995, 17-27. Available as  learn_recursive_relations.pdf
  45. Whigham,P.A. "Genetic Programming and Spatial Information." Proc. of the 7th Australian Joint Conference on Artificial Intelligence. 124-132. World Scientific, 1994.
  46. Whigham,P.A. "Hierarchies of Space and Time." In ‘Spatial Information Theory - A Theoretical Basis for GIS’, Lecture Notes in Computer Science, 716, 190-202, 1993.
  47. Cuddy,S.M.,Davis,J.R.,and Whigham,P.A. "An examination of integrating time and space in an environmental model to predict damage from Army training exercises." Proc. of NCGIA 1993 Conference on GIS in Environmental Modelling,Colorado, 1993.
  48. Davis,J.R.,Whigham,P.A. and Cuddy,S.M. "Reflections on the development of an integrated system for predicting environmental damage at an Army Base." Proc. Avignon ’92, pp 153-160. Avignon, France, 1992.
  49. Whigham,P.A., McKay,R.I. and Davis, J.R. "Machine Induction of Geospatial Knowledge." In ‘Theories and Methods of Spatio-Temporal Reasoning’. Lecture notes in Computer Science, 639, 402-417 Springer-Verlag, 1992. Available as: geospatial_induction.pdf

Other Publications

  1. P.A. Whigham, Grammatical Bias for Evolutionary Learning, PhD Thesis, School of Computer Science, University College, UNSW, ADFA, 1996. Available as thesis.zip.
  • Evolutionary Flag Design Website:   flags.otago.ac.nz
  • Kite Diagrams: Height-Frequency Image Creator
  • Time Series Tool Box Downloads
  • Effort Predictor - Species Accumulation

Kite Diagrams: Height-Frequency Image Creator

The KiteDiagram software allows the user to produce diagrams of height-frequency data.  The diagrams may be modified in terms of element placement, colour, font, etc. and should be flexible enough for most users.  User documentation may be downloaded here.

Downloading this software indicates that the user has taken responsibility for any consequences arising from the use of this software. Neither the University of Otago nor the authors accept any liability arising from the use of this software.  

This software is supported and supplied without charge by Dr PA Whigham. Please send all comments regarding bugs, fixes, comments and complaints to this email address.  KiteDiagram is written in Java and requires JRE 1.6 or above.  The application has been tested on Windows XP and Mac, although with the appropriate JRE it should also run on Linux based and other Windows systems

Installation Instructions

Download Installation as one file:

  • KiteDiagram Java files, user documentation and example files as KiteDiagram.zip
  • Save KiteDiagram.zip in a folder/directory (say KiteDiagram), unzip the contents into this folder.  Read the user guide for instructions to run KiteDiagram and the required file formats.

Download Installation as separate files:

  • Create a folder/directory (say KiteDiagram) to store each file.
  • Download (from the link) each file into this folder/directory.
  • You can create a batch file (such as KiteDiagram.bat) to run the program.  This is provided in the KiteDiagram.zip file above.  Under windows the command is:
    java -cp kite.jar ; fontchooser.jar  windows.MainWin
  • If you are using a Machintosh or Linux system with Java the command is:
    java -cp kite.jar : fontchooser.jar  windows.MainWin

Height-Frequency Methodology Paper:  This paper describes a method for collecting height-frequency data, and shows some simple kite diagrams.  Dickinson et al. (1992)

Time Series Tool Box

The Time Series Tool Box (TSTB) has been developed as part of an Otago Research Grant during 2000-2001. The TSTB allows the user to explore the properties of multivariate time series data in a Windows-based environment. The following features have been implemented at present:

  • Resample
  • Normalise
  • Outlier Detection
  • Smoothing
  • Statistical Analysis
  • Curve Fitting
  • Probability of Exceedance
  • Mulitvariate Linear Regression
  • Principle Component Analysis
  • Wraparound visualisation
  • Periodogram
  • Correlogram
  • Equation Discovery using evolution and optimisation

Downloading this software indicates that the user has taken responsibility for any consequences arising from the use of this software. Neither the University of Otago nor the authors accept any liability arising from the use of this software, or consequences derived from the application of this software to support decision making.

This software is supported and supplied without charge by Dr PA Whigham. Please send all comments regarding bugs, fixes, comments and complaints to this email address. The TSTB has been written in Delphi V. The source code can be ordered by contacting Dr Whigham on the above e-mail address.

Installation Instructions

TSTB has been designed and tested on Windows 97 and Windows 2000, using Access 97 and Access 2000 databases, connected using ODBC. Please follow the installation instructions supplied with the documentation - an ODBC link must be set up before the installation is complete. This is described in Chapter 2 of the manual.

Download Installation as one file:

  • TSTB Installation Complete TSTBInstaller.zip (approx. 6 MB).
  • Save TSTBInstaller.zip in a temporary folder, unzip the contents into this folder and run "setup.exe". The contents of the installation folder may be deleted after a successful installation.

Download Installation as 3 files:

Time Series ToolBox Documentation: manual.zip (850 K)

Known Bugs:

The TSTB will sometimes close without warning if the maximum tree size is set to a value other than 5.  Unfortunately due to the environment in which this was built it is difficult to rebuild the system and therefore this has not been addressed.

Paper describing Time Series Optimisation/Evolution

Whigham, P.A. and J. Keukelaar. Evolving Structure - Optimising Content. Proceedings of the 2001 Congress on Evolutionary Computation, May 27-30, COEX, Seoul, Korea. 1228-1235. Available as optimisecec2001.pdf

 

Effort Predictor V1.0

The Effort Predictor V1.0 has been developed to support some simple exploration of species accumulation curves and the predicted effort to discover a certain percentage of predicted species. Effort Predictor V1.0 takes a list of species numbers and sites to produce:

  • Species Accumulation Curve (SAC) based on randomisation of sites
  • Fitted SACs based on exponential and hyperbolic functions
  • Predicted effort required to discover a percentage of species

Downloading this software indicates that the user has taken responsibility for any consequences arising from the use of this software. Neither the University of Otago nor the authors accept any liability arising from the use of this software, or consequences derived from the application of this software to support decision making.

This software is supported and supplied without charge by Dr PA Whigham. Please send all comments regarding bugs, fixes, comments and complaints to this email address.

Installation Instructions

  • Effort Program, Documentation and Examples Effort.zip (approx. 0.7 MB)
  • Save Effort.zip in a folder, unzip the contents into this folder and read "readme.txt". The program "effort.exe" can be run from the folder that it has been unzipped, and does not require any other installation.


Contact details (including email accounts, instant messaging services, or telephone accounts) published on this page are for the sole purpose of contact with the individuals concerned in their capacity as officers, employees or students of the University of Otago. Publication of any such information is not to be taken as consent to receive unsolicited commercial messages by the address holder.