Qualifications:
- PhD Statistics, QUT
- BSc (Hons) Marine Biology & Zoology, UWA.
Research Interests:
- Applied Statistics
- High Dimensional Variable Selection
- Visualisation
- Ecology
- Pedology
PhD Project Description:
CRCSI Biomass Business (4.12): PhD Project 3.1 – Subset selection and spatial inference for soil carbon.
My PhD research focused on quantifying soil carbon stocks at an individual paddock scale. I am explored 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 was 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:
Pre-Prints:
Software:
Other Pages:
Activities:
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.