Modelling and Statistics Learning and Discussion Group (MOSTA)
First Year 2006/2007: Discussion Schedule

 
 

Please download the pdf of the paper to be discussed for each meeting below - note that this schedule can change depending on urgency of certain topics and/or on contributions by group members; so please check this schedule regularly for updates.
 
 
Date of Meeting  Facilitator Topic/Paper to be discussed 
Tuesday, September 12,
2006		 Julia Linke 1) Introduction to Modelling and Statistics:  Exchange of the research questions asked by the members of this group, the techniques applied and the statistics packages used.  Introduction for new and existing students.  Bring in your experiences and your questions.

2) Viewpoint Discussion: The Modifiable Area Unit Problem (MAUP):  Sensitivity of results to spatial analyses definition of spatial units.   Papers: I) Jelinski and Wu 1996.  The modifiable areal unit problem and implications for landscape ecology; II) Marceau and Hay. 1999.  Remote sensing contributions to the scale issue.
Tuesday, September 26,
2006 		 David Lieske 1) Summary of last Meeting & discussion of students problems and solutions

2) Viewpoint Discussion:  Modelling for inference versus prediction.  Paper: Austin 2002.  Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. 
Tuesday,
October 10, 
2006		 Steve Howell 1) Summary of last Meeting & discussion of students problems and solutions.

2) Viewpoint Discussion: Sampling and Aliasing.
Papers: I) Holloway, G. and T. Sou.  2002.  Has arctic sea ice rapildy thinned?  II) Rothrock, D.A., Yu, Y. and G.A. Maykut.  1999.  THinning of the Arctic Sea-Ice Cover.
Tuesday, 
October 24, 
2006		 Julia Linke 1) Summary of last Meeting & discussion of students problems and solutions
2) Viewpoint Discussion: Spatial Autocorrelation and Geographically Weighted Regression (GWR)
Papers: I) Dorman, C.  In Press. Effects of incorporating spatial autocorrelation into the analysis of species distribution models.  Global Ecology and Biogeography.; II) Wheeler and Tiefelsdorf.  2005.  Multicollinearity and correlation among local regression coefficients in geogarphically wieghted regression.
Tuesday, 
November 7, 
2006		 David Lieske 1) Summary of last Meeting & discussion of students problems and solutions
2) Case study discussion: An application of GWR to a spatial bird distribution data set
Tuesday, 
November 21, 
2006		 Adrienne Tivy 1) Summary of last Meeting & discussion of students problems and solutions
2) Viewpoint Discussion: Pros and Cons of Multiple Linear regression model selection techniques based on traditional R2 statistics. Paper I): Tivy et al. A statistical model for long range forecasting the opening of the shipping season in Hudson Bay.  Download tables.  Download figures.  
 
Tuesday, 
December 5, 
2006		 Julia Linke 1) Summary of last Meeting & discussion of students problems and solutions

2) Viewpoint Discussion: Model selection approaches: AIC versus traditional hypothesis testing & AIC Myths and misunderstandings
Papers I): Anderson et al.  2000.  Null hypothesis testing: problems, prevalence, and an alternative  & visit website to see more on hypothesis testing:http://www.warnercnr.colostate.edu/~anderson/null.html;   II) Guthery et al.  2005.  Information Theory in Wildlife Science: critique and viewpoint ; III) Anderson and Burnham: AIC myths and misunderstandings


*****************Christmas Break*************************
Tuesday, 
January 16, 
2007		 Andrew Hunter

Regression Diagnostics

Tuesday, 
January 30, 
2007		 Mike Suitor Viewpoint Discussion: "Integrating scientific inference into Management and Policy".  Papers: I) Beier et al. 2006.  Evaluating scientific inferences about the Florida Panther.  II) Brussard.  1991.  The role of biological conservation.  III)  Conroy et al. 2006.  Improving the use of science in conservation: lessons from the Florida Panther.  IV) Groves et al. 2002.  Planning for biodiversity conservation: putting conservation science into practice.
Tuesday, 
February 13, 
2007		 Brian Horton Data Dredging/Mining.  Paper:  Ye et al. 1995.  the detection of climate change in the Arctic: an updated report.
Tuesday, 
February 27, 
2007		 David Lieske Accuracy Assessment of statistical models.  Paper: Justice et al. 1999.  Assessing the generalizability of Prognostic Information.
Tuesday, 
March 13,  2007

Session cancelled
Tuesday, 
March 27, 
2007		 Julia Linke

Problem Solving Session:  Logistic regression techniques to model habitat selection: A case study application: Issues of Model selection and Handling Categorical Variables such as Landcover Data.   Case Study Data Description.   Papers: I)  Millspaugh et al. 2006.  Analysis of Resource Selection Using Utilization Distributions.  II) Neatherlin and Marzluff.  2004.  Responses of American Crow populations to campgrounds in remote native forest landscapes.
Tuesday,
April 10, 
2007		 Mike Suitor
 Webseminar Post-Discussion:  Manly's new logistic regression approach for estimating a resource selection probability function.  Review of new techniques presented by West.Inc seminar transmitted April 5th 2007.  Download Notes.
Tuesday 
April 24, 
2007		 Julia Linke

Occupancy Modelling:  Incorporating detectability issues in wildlife presence data into resource selection modelling.   Papers: I)  Mackenzie, D.I.  2006.  Modelling the probabilty of resource use: the effect of, and dealling with, detecting a species imperfectly.  II)  MacKenzie, D.I.  2005.  What are the issues with presence-absence data for wildlife managers.


*********************Summer Break*************************

Website last updated: September 5, 2007
by Julia Linke