Dr Trevor Moffiet

Conjoint Lecturer

School of Mathematical and Physical Sciences (Statistics)

Career Summary

Biography

 

Industrial Research (metallurgical processes, physical metallurgy),

Statistical Consultant (Industry, Academia),

Academic Research (Remote Sensing, Statistics,  Energy Efficiency of Housing, tobacco smoking trends modelling)

Development of a remote sensing index set called Principal Polar Spectral Indices: Principal Polar Spectral Brightness, Greenness & Wetness  (PPSB, PPSG & PPSW)

Development of a metric (index) to characterise the thermal performance of a buildings walling system.

Assist the World Health Organisation and Tokyo university with modelling tobacco smoking trends. 

Development of the World Health Organisation's (WHO's)"Interactive Smoking Projection Tool" (ISPT) to assist with tobacco control target setting and the projection of possible gains in lives saved through implementation of MPOWER intervention initiatives. 




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 relationship modelling
  • Bounded space modelling
  • Excel tool development
  • Foliage cover modelling
  • Landsat
  • Lidar
  • Remote Sensing
  • Statistical consulting
  • Statistical modelling
  • Tobacco trends modelling

Fields of Research

Code Description Percentage
010401 Applied Statistics 100

Professional Experience

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For publications that are currently unpublished or in-press, details are shown in italics.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) [C1]

© The Author(s) 2014. Statistical analyses are important for real-world validation of theoretical model predictions. In this article, a statistical analysis of real data shows em... [more]

© The Author(s) 2014. 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
2015 Alterman D, Page AW, Moghtaderi B, Zhang C, Moffiet T, 'The influence of thermal resistance and thermal mass on the seasonal performance of walling systems in Australia', Journal of Green Building, 10 107-126 (2015) [C1]

© 2015, College Publishing. All rights reserved. This paper describes an experimental investigation of the thermal performance of four Australian domestic walling systems (cavity... [more]

© 2015, College Publishing. All rights reserved. This paper describes an experimental investigation of the thermal performance of four Australian domestic walling systems (cavity brick, insulated cavity brick, insulated brick veneer and insulated reverse brick veneer) having various combinations of thermal insulation and of thermal mass location within the wall. This experimental analysis extends further the previous studies of the benefits of thermal mass on the overall thermal performance of building enclosures (Gregory et al. 2008, Luo at al. 2008, Alashaary et al. 2009). The comparison is based on the time required to maintain thermal comfort for free-floating internal conditions. The results clearly show that internal comfort levels are influenced by both the thermal resistance of the walls as well as the extent and location of the thermal mass, with neither parameter being the sole predictor. The best thermal performance is therefore obtained by an appropriate combination of thermal mass and resistance, rather than focussing on the overall wall thermal resistance (R-value) alone. A new approach of density temperature plots for comparison of temperature variation is also used in the assessment of module thermal performance.

DOI 10.3992/jgb.10.4.107
Co-authors Adrian Page, Behdad Moghtaderi
2015 Page AW, Alterman D, Moffiet T, Moghtaderi B, 'A Measure for the Dynamic Thermal Performance of Walling Systems Incorporating the Combined Effect of Thermal Mass and Thermal Resistance', Masonry International: Journal of the British Masonry Society, 28 (2015)
Co-authors Behdad Moghtaderi, Adrian Page
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 - 5Web of Science - 2
Co-authors Caimao Luo, Behdad Moghtaderi, Adrian Page
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 - 5Web 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 - 57Web of Science - 42
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 - 76Web 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 (2012) [E1]
Co-authors Behdad Moghtaderi, Adrian Page
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 (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 (2011) [E3]
Co-authors Kim Colyvas
2010 Stokes BJ, Moffiet TN, 'Fitting the 4-parameter lineal basis model', 10th International Mathematica Symposium (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 (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 (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 Irene Hudson, Frank Tuyl
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Dr Trevor Moffiet

Positions

Conjoint Lecturer
Statistics
School of Mathematical and Physical Sciences
Faculty of Science and Information Technology

Senior Research Assistant
Statistics
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 7428
Fax (02) 4921 6898 (Faculty Sc & IT)

Office

Room V237
Building Mathematics
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
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