ISQSP 2015

International Symposium on Quantitative
Stratigraphy and Palaeobiology and GBDB Short Course
Beijing, Sep. 3 - Sep. 6, 2015

Wednesday, 08 22nd

Last update06:49:07 AM




Third International Symposium on Quantitative Stratigraphy and Palaeobiology and GBDB Short Course 2015

3 - 6 September 2015

Organizers: Dr. Junxuan Fan & Prof. Norman MacLeod




Lab Practial


Organisms are characterized by patterns of variation in time and space. Both quantitative stratigraphy and morphometrics involve the study of these patterns and use of the results of such studies to test hypotheses in palaeobiology (e.g., taxonomy, phylogeny, evolution, biogeography, ecology). Quantiative stratigraphic and morphometric approaches to palaeobiological investigation are becoming increasingly popular with researchers. This short course aims to familiarize students with the principles, practices, and application of these methods.


This short course will deal with the theory and practice of a wide range of quantitative stratigraphy and morphometric techniques including the use of graphic correlation, regression, multivariate methods (e.g., principal components analysis, linear discriminant methods), geometric morphometrics, and approaches to machine learning. Through lecture presentations, discussions, and practical laboratory work students will become familiar with the concepts involved in the use of such methods in use of these methods, the interpretation of results, and the operation of simple software packages designed to implement basic quantitative stratigrtaphic and morphometric data-analysis procedures.



Upon successul completion of this course participants will ...

  • ... recognize situations in which ordination techniques can be used to answer systematic questions in species identification, functional morphology, ecology, and biogeography
  • ... acquire an entry-level knowledge of image analysis/image processing technique sufficient to extract linear distance, landmark and boundary coordinate data from biological images
  • ... be able to demonstrate a qualitative/procedural knowledge of the the following ordination techniques as they are applied to biological data: regression analysis, PCA, LDA/CVA, eigenshape analysis