Ben R Fitzpatrick

 Profile_June_2016_600

Qualifications:

  • BSc (Hons) Marine Biology & Zoology, UWA.

Research Interests:

  • Applied Statistics
  • Variable Selection
  • Shrinkage Methods (e.g. LASSO, Elastic Net, Bayesian LASSO)
  • Pedology
  • Ecology

Project Description:

CRCSI Biomass Business (4.12): PhD Project 3.1 –  Subset selection and spatial inference for soil carbon.

My research focuses on quantifying soil carbon stocks at an individual paddock scale. I am exploring methods to model small numbers of geostatistical observations of soil carbon with broad collections of environmental data all available at much finer spatial resolutions than the soil carbon data. The aim of this modelling is to use these high resolution environmental data to assist the interpolation of the soil carbon observations to full cover maps. I am also interested in visualisation methods to communicate predictions from models, the uncertainty associated with these predictions and the mechanics of the models producing these predictions.

 

Publications:

Fitzpatrick, B. R., Lamb, D. W., & Mengersen, K. (2016). Ultrahigh Dimensional Variable Selection for Interpolation of Point Referenced Spatial Data: A Digital Soil Mapping Case Study . PLoS ONE 11(9): e0162489.

Langlois, T. J., Fitzpatrick, B. R., Fairclough, D. V., Wakefield, C. B., Hesp, S. A., McLean, D. L., Harvey, E. S., Meeuwig, Jessica J. (2012). Similarities between Line Fishing and Baited Stereo-Video Estimations of Length-Frequency: Novel Application of Kernel Density Estimates. (D. M. Bailey, Ed.) PLoS ONE, 7(11).

Pre-Prints:

Fitzpatrick, B. R., Lamb, D. W., & Mengersen, K. (2016). Assessing Site Effects and Geographic Transferability when Interpolating Point Referenced Spatial Data: A Digital Soil Mapping Case Study.

Other Pages:

ORCID

GitHub

LinkedIn

Mendeley

Personal Homepage

Activities:

PhD Final Seminar

Poster at CRC for Spatial Information Conference 2016.

Brisbane Users of R Group Meetup

Group R Tips Blog: One weiRd tip

Introduction to R Short Course, 2015 Edition

Thesis in 3 talk at the CRCSI 2014 Conference.

Visualisation Workshop

Links to R Resources

Visualisation Talk

RGL Shenanigans

Introduction to R Course

R Tips

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