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Queen's University
 

Quantitative Skills Group

We are a diverse group of Biology faculty who use quantitative skills in our everyday research, and are interested in developing these skills for undergraduate, graduate and postgraduate training. Please see our QSG resource site (still under development) for primers, examples, wiki’s and blogs that cover a range of quantitative skills.

Shelley Arnott
Area of research: Environmental impacts on aquatic communities and ecosystems
Quantitative Approaches: Analysis of variance—multifactor repeated measures ANOVA on experimental data; Ordination analyses—principal component analysis of zooplankton community data, redundancy analysis to relate environmental gradients to zooplankton community data.
Software: Statistica, JMP, Canoco, R

Adam Chippindale
Area of research:  Evolutionary genetics and organismal biology
Quantitative Approaches: Analysis of variance, quantitative genetics of life histories, heritability, generalized linear models
Software: JMP, R

Brian Cumming
Area of research: Aquatic ecology and paleolimnology
Quantitative Approaches: regression (GLM); multivariate techniques to assess and reconstruct environmental change from community data (e.g., regression and calibration (WA, ML, PLS, Neural Networks); unconstrained (e.g., PCA, CA, DCA, NMDS), constrained, and partial ordination techniques (e.g., RDA, CCA, variance partitioning); multivariate assessment of difference between groups (e.g., ANOSIM, SIMPER); clustering techniques
Software: CANOCO, Primer, R

Troy Day(Math & Stats. Cross-appointed to Biology)
Area of research: Theoretical evolutionary ecology
Quantitative Approaches: Mathematical modeling—evolutionary ecology, infectious disease evolution, kin selection, sexual selection, epigenetic inheritance, inter- and intra-specific interactions.
Software: TBA

Chris Eckert
Area of research: Plant evolution and population genetics
Quantitative Approaches: Experimental design; linear models: including mixed models, repeated-measures models, analysis of covariance, multiple regression; multivariate analysis of morphological and environmental data; resampling and randomization methods; computer simulation; spatial analysis of geographic variation; quantitative-genetic analyses; estimating mating systems using likelihood-based analysis of molecular progeny array data.
Software: JMP, R, Arlequin, MLTR, pascal

Vicki Friesen
Area of research: Molecular ecology and phylogenetics
Quantitative Approaches:  coalescent theory, molecular assignments
Software: Arlequin, BayesAss, Bottleneck, Fluctuate, GeoDis, Mega, Migrate, 2MOD, Populations, Structure, TCS

Stephen Lougheed
Area of research: Speciation and diversification of vertebrates
Quantitative Approaches: Phylogenetics—Bayesian, likelihood and parsimony approaches to phylogeny inference, character mapping, constraint analyses, coalescence Generalized linear models—morphometric and sonographic analyses. univariate and multivariate analyses of spatial genetic structure—Bayesian assignment methods
Software: MrBayes, PAUP*, Mesquite, Structure, BEAST, JMP

Paul Martin
Area of research: Origins and maintenance of diversity
Quantitative Approaches: Generalized linear models, mixed models - analysis of geographic variation in richness, rates of trait evolution, neutral genetic divergence, species accumulation curves, spatial overlap in distributions, behavioural experiments (song playback, mate choice), quantifying natural history, habitat use; moving into Information Theoretic approach
Software:
S+/R, SPSS, Syrinx, GIS, MEGA

William Nelson
Area of research: Evolutionary ecology of aquatic systems
Quantitative Approaches: Statistical population models—generalized additive time-series models (splines) fit to multinomial count data, nonlinear population models, resampling methods; Mathematical modeling—stage-structured population models.
Software: R, Matlab, C

Bob Montgomerie
Area of research: Sexual selection
Quantitative Approaches: Generalized linear models—analysis of animal and plant colours, paternity analysis, bird song analysis, univariate and multivariate, resampling; Information theoretic analyses—relative weight of evidence.
Software: JMP, R, Citrin, Raven

Peter Taylor (Math & Stats. Cross-appointed to Biology and Education)
Area of research: Theoretical evolutionary ecology
Quantitative Approaches: Mathematical modeling—evolutionary ecology, evolutionary game theory, inclusive fitness, structured populations.
Software: Maple


 

 

 

Kingston, Ontario, Canada. K7L 3N6. 613.533.2000