Dr Trevor Moffiet

Conjoint Lecturer

School of Mathematical and Physical Sciences (Statistics)

Career Summary

Biography

I have 40 years of cross-disciplinary work experience; Research, Teaching, Industry. Experiences include: Industrial Research (metallurgical processes, physical metallurgy), Statistical Consulting (Industry, research disciplines ranging from Engineering to Psychology to Food Science), Secondary Teaching (Maths, Science, Biology and Chemistry), University Teaching (Statistics), and Academic Research (Remote Sensing, Statistics, and Energy Efficiency of Housing) My research higher degree (ARC linkage project Grant number LP0214188 with Queensland Department of Natural Resources) was in a cross-disciplinary area of statistics and remote sensing. With no prior experience in remote sensing, I am first author on one paper on Lidar Remote Sensing and one on Vegetation Indices and modelling of Foliage Projective Cover. In addition I hold a body of original work on vegetation indices and how to model vegetation cover that I have not published. I have not been in a position to complete that work to a level suitable for publication because I have not been employed in that field after graduating. However I retain an interest in that area. My interest is demonstrated by me assisting, in my own time, two PhD students from other univeristies that are doing research that involves remote sensing of vegetation. In my Industrial Research role I attained the level of Principal Research Officer. (BHP and OneSteel). Additional to my industrial research my industrial experiences include: technical problem solving, process improvement and process improvement facilitation. In my production role I acted as the Technical Superintendent for production of galvanised steel wire, rural fencing products. I acted as a Process Improvement Facilitator for twelve project leaders in an intensive one year improvement exercise. I was an integral member of a research and engineering team that designed a novel galvanising ‘Jet Wiping’ process. The team took the project from fundamental research in a pilot plant through to final implementation and commissioning of that process as a large a scale commercial operation. Automatic control of the zinc coating on the wire during production required the establishment of robust calibration models between continuous electronic measurements of the coating during production and chemical measurements of samples in a laboratory. I developed the calibration model using conventional regression methods. Inadequacies with the conventional techniques provided the seed for a novel idea for improved calibration methods. I have carried that idea through to implementation withinmy Remote Sensing PhD research project and into statistical consulting where I have come across many diverse applications that would benefit from my new approach. The new modelling method I have labelled in general as "bivariate relationship modelling on bounded spaces". More specifically I have called it Lineal Basis Modelling. My current role is as a part time Research Associate in the priority research centre for energy at the University of Newcastle. My primary fuction within that role was to produce and maintain a database of thermal measurements taken from four experimental housing units. The data are collected at 5 minute intervals from 105 sensors in each of four modules, 24hrs per day since 2003. In that role I have made a significant research contribution to developing an index on the dynamic thermal performance of buildings. In essence the index is derived from elliptical shapes that are statistically fitted to hysteresis patterns of internal temperature plotted against external temperature. There is scope to write up this work as a new statistical modelling method.

Research Expertise
Developed a new method for modelling of bivariate relationships on bounded spaces - the new method has wide ranging application in the bio sciences but also physical sciences. The method could be regarded as a new calibration method or errors in variables method and is suitable for allometry. Modeling of bivariate relationships on bounded spaces, Application of statistical methods to industrial process control problems, Application of statistical models to satellite remotely sensed data.

Teaching Expertise
First year university statistics.

Collaborations
I have been collaborating with or, more correctly, assisting in an unofficial and unsupported capacity two PhD students external to the university of Newcastle: Sisira Ediriweera, School of Environment, Science and Engineering, Southern Cross University, Lismore, NSW, Australia, "Effect of different topographic normalization methods on prediction accuracy of Foliage Projective Cover (FPC) in topographically complex landscapes" Fatwa Ramdani, Tohoku University, Graduate School of Science, Earth Science Department, Miyagi, Japan, "Changes in local climate due to expansion of palm oil plantation in Indonesia".

Qualifications

  • PhD, University of Newcastle
  • Bachelor of Science (Metallurgy), University of Newcastle
  • Graduate Diploma in Education, University of Newcastle
  • Graduate Diploma in Mathematical Studies, University of Newcastle

Keywords

  • Bivariate Relationships
  • Bounded Spaces
  • Foliage Cover
  • Landsat
  • Lidar
  • Remote Sensing
  • Statistics 1070

Fields of Research

Code Description Percentage
040699 Physical Geography and Environmental Geoscience not elsewhere classified 35
090999 Geomatic Engineering not elsewhere classified 65

Professional Experience

UON Appointment

Title Organisation / Department

Academic appointment

Dates Title Organisation / Department
1/05/1982 - 1/10/1989 Teacher NSW Department of Education
High School
Australia

Professional appointment

Dates Title Organisation / Department
1/10/1989 - 1/07/2002 Process Improvement coordinator OneSteel
Process improvement
Australia
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Journal article (9 outputs)

Year Citation Altmetrics Link
2015 Moffiet T, Alterman D, Hands S, Colyvas K, Page A, Moghtaderi B, 'A statistical study on the combined effects of wall thermal mass and thermal resistance on internal air temperatures', Journal of Building Physics, 38 419-443 (2015)
DOI 10.1177/1744259113516248
Co-authors Adrian Page, Behdad Moghtaderi, Kim Colyvas
2015 Moffiet T, Alterman D, Hands S, Colyvas K, Page A, Moghtaderi B, 'A statistical study on the combined effects of wall thermal mass and thermal resistance on internal air temperatures', Journal of Building Physics, 38 419-443 (2015)

Statistical analyses are important for real-world validation of theoretical model predictions. In this article, a statistical analysis of real data shows empirically how thermal r... [more]

Statistical analyses are important for real-world validation of theoretical model predictions. In this article, a statistical analysis of real data shows empirically how thermal resistance, thermal mass, building design, season and external air temperature collectively affect indoor air temperature. A simple, four-point, diurnal, temperature-by-time profile is used to summarise daily thermal performance and is used as the response variable for the analysis of performance. The findings from the statistical analysis imply that, at least for moderate climates, the best performing construction/design will be one in which insulation and thermal mass arrangements can be dynamically altered to suit weather and season.

DOI 10.1177/1744259113516248
Co-authors Adrian Page, Behdad Moghtaderi, Kim Colyvas
2014 Ramdani F, Moffiet T, Hino M, 'Local surface temperature change due to expansion of oil palm plantation in Indonesia', CLIMATIC CHANGE, 123 189-200 (2014) [C1]
DOI 10.1007/s10584-013-1045-4
Citations Web of Science - 1
2014 Ramdani F, Moffiet T, Hino M, 'Local surface temperature change due to expansion of oil palm plantation in Indonesia', CLIMATIC CHANGE, 123 189-200 (2014) [C1]
DOI 10.1007/s10584-013-1045-4
Citations Scopus - 1Web of Science - 1
2013 Ediriweera S, Pathirana S, Danaher T, Nichols D, Moffiet T, 'Evaluation of different topographic corrections for landsat TM data by prediction of foliage projective cover (FPC) in topographically complex landscapes', Remote Sensing, 5 6767-6789 (2013) [C1]

The reflected radiance in topographically complex areas is severely affected by variations in topography; thus, topographic correction is considered a necessary pre-processing ste... [more]

The reflected radiance in topographically complex areas is severely affected by variations in topography; thus, topographic correction is considered a necessary pre-processing step when retrieving biophysical variables from these images. We assessed the performance of five topographic corrections: (i) C correction (C), (ii) Minnaert, (iii) Sun Canopy Sensor (SCS), (iv) SCS + C and (v) the Processing Scheme for Standardised Surface Reflectance (PSSSR) on the Landsat-5 Thematic Mapper (TM) reflectance in the context of prediction of Foliage Projective Cover (FPC) in hilly landscapes in north-eastern Australia. The performance of topographic corrections on the TM reflectance was assessed by (i) visual comparison and (ii) statistically comparing TM predicted FPC with ground measured FPC and LiDAR (Light Detection and Ranging)-derived FPC estimates. In the majority of cases, the PSSSR method performed best in terms of eliminating topographic effects, providing the best relationship and lowest residual error when comparing ground measured FPC and LiDAR FPC with TM predicted FPC. The Minnaert, C and SCS + C showed the poorest performance. Finally, the use of TM surface reflectance, which includes atmospheric correction and broad Bidirectional Reflectance Distribution Function (BRDF) effects, seemed to account for most topographic variation when predicting biophysical variables, such as FPC. © 2013 by the authors.

DOI 10.3390/rs5126767
Citations Scopus - 3
2012 Alterman D, Moffiet TN, Hands SA, Page AW, Luo C, Moghtaderi B, 'A concept for a potential metric to characterise the dynamic thermal performance of walls', Energy and Buildings, 54 52-60 (2012) [C1]
DOI 10.1016/j.enbuild.2012.08.006
Citations Scopus - 2Web of Science - 2
Co-authors Behdad Moghtaderi, Adrian Page, Caimao Luo
2010 Moffiet TN, Armston JD, Mengersen K, 'Motivation, development and validation of a new spectral greenness index: A spectral dimension related to foliage projective cover', ISPRS Journal of Photogrammetry and Remote Sensing, 65 26-41 (2010) [C1]
DOI 10.1016/j.isprsjprs.2009.08.002
Citations Scopus - 3Web of Science - 4
2009 Armston JD, Denham RJ, Danaher TJ, Scarth PF, Moffiet TN, 'Prediction and validation of foliage projective cover from Landsat-5 TM and Landsat-7 ETM+ imagery', Journal of Applied Remote Sensing, 3 1-28 (2009) [C1]
DOI 10.1117/1.3216031
Citations Scopus - 49Web of Science - 38
2005 Moffiet TN, Mengersen K, Witte C, King RA, Denham R, 'Airborne laser scanning: Exploratory data analysis indicates potential variables for classification of individual trees or forest stands according to species', Isprs Journal of Photogrammetry and Remote Sensing, 59 289-309 (2005) [C1]
DOI 10.1016/j.isprsjprs.2005.05.002
Citations Scopus - 74Web of Science - 65
Co-authors Robert King
Show 6 more journal articles

Conference (6 outputs)

Year Citation Altmetrics Link
2012 Alterman D, Page AW, Hands SA, Moffiet TN, Moghtaderi B, 'A study of wall surface temperature variations for housing in moderate climates', Proceedings of the 15th International Brick and Block Masonry Conference, Florianopolis, Brazil (2012) [E1]
Co-authors Adrian Page, Behdad Moghtaderi
2011 Alterman D, Page AW, Hands SA, Moffiet TN, Moghtaderi B, 'Looking for a true measure of the dynamic thermal response of walls and buildings', 2011 Building Australia's Future National Conference, Surfers Paradise (2011) [E3]
Co-authors Adrian Page, Behdad Moghtaderi
2011 Colyvas KJ, Moffiet TN, 'Statistical consulting under ASEARC', Proceedings of the 4th Applied Statistics Education and Research Collaboration (ASEARC) Conference, Parramatta, NSW (2011) [E3]
Co-authors Kim Colyvas
2010 Stokes BJ, Moffiet TN, 'Fitting the 4-parameter lineal basis model', 10th International Mathematica Symposium, Beijing, China (2010) [E2]
Co-authors Barrie Stokes
2007 Moffiet TN, Mengerson K, King RA, Witte C, 'Relationship modelling on bounded spaces with example application to the estimation of forest foliage cover by remote sensing', TIES North American Regional Meeting. Program, Seattle, WA (2007) [E3]
Co-authors Robert King
2006 Moffiet TN, Mengersen K, King RA, Armston JD, Witte C, 'Modelling of foliage projected cover using Landsat-7 spectral imagery: spectral indices for greenness and brightness', The 13th Australasian Remote Sensing and Photogrammetry Conference, Canberra, Australia (2006) [E2]
Co-authors Robert King
Show 3 more conferences

Report (1 outputs)

Year Citation Altmetrics Link
2014 Moffiet T, Tuyl FA, Hudson IL, Tursan d'Espaignet E, 'Literature review into existing tobacco projection tools: A blueprint to allow practical development of a projection tool', WHO Organization Tobacco Free Initiative, Comprehensive Information Systems for Tobacco Control and MAPS (2014) [R2]
Co-authors Frank Tuyl, Irene Hudson
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Dr Trevor Moffiet

Positions

Conjoint Lecturer
Statistical Consulting Unit (Monday and Wednesday)
School of Mathematical and Physical Sciences
Faculty of Science and Information Technology

Senior Research Assistant
Statistical Consulting Unit (Monday and Wednesday)
School of Mathematical and Physical Sciences
Faculty of Science and Information Technology

Focus area

Statistics

Contact Details

Email trevor.moffiet@newcastle.edu.au
Phone (02) 4921 5528 (Mon and Wed)
Fax (02) 4921 6898 (Faculty Sc & IT)

Office

Room V234 (usually Monday and Wed)
Building Mathematics (Monday and Wednesday)
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
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