Dr David Pullar
Dr

David Pullar

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+61 7 336 56522

Background

Dr David Pullar's research interests are in: Geographical Information Science (Spatial analysis, Spatial modelling languages and frameworks, 3D visualisation, Environmental database applications) and Landscape Modelling (Catchment hydrology, Landuse change, Landscape dynamics).

David Pullar received his PhD from the University of Maine in 1994. His current research projects are in the fields of:

Incorporating Level Set Methods in Geographical Information Systems (GIS) for Land-Surface Process ModellingUsing Spatial Simulation to Create a Process Classification of Provincial BioregionsEnvironmental Database Management and IntegrationHis collaborators include:Coastal CRCIntelligent Real-time Imaging and Sensing (IRIS)The Ecology CentreHigh Performance Computing, VisAC Lab

Availability

Dr David Pullar is:
Available for supervision
Media expert

Fields of research

Earth Sciences Environmental Sciences Information and Computing Sciences

Qualifications

  • Bachelor of Applied Science, Queensland University of Technology
  • Masters (Coursework) of Science, Institution to be confirmed
  • Doctor of Philosophy, Institution to be confirmed

Research interests

  • Incorporating Level Set Methods in Geographical Information Systems (GIS) for Land-Surface Process Modelling

    The research uses a GIS as a generic modelling framework, and extends its analysis capability with an innovative technique to model complex systems. The modelling approach will be tested in two application areas: i) a watershed hydrology model for rainfall runoff and nutrient/sediment transport, and ii) ecological growth model to simulate the spread of infectious weeds.

  • Using Spatial Simulation to Create a Process Classification of Provincial Bioregions

    To develop a rigorous transparent and scientific methodology for defining biogeographical regions as a complex interaction of climate, landforms and biotic processes. A novel approach using simulation modelling is used to define high level spatial views of landscapes and ecosystem structures. The immediate project outcome is the classification and mapping of provincial bioregions for southeast Queensland distributed as a digital product. Other goals include: i) new methods and tools for landscape modelling, ii) improving Australia�s capacity to undertake biogeographical research, and iii) better environmental decision-making for nature conservation planning, land management, environmental policy formulation, and natural resource allocation.

  • Environmental Database Management and Integration

    As part of a CRC, we are developing online database for the storage, query, and interpretation of scientific data. The goal is to make environmental scientific data accessible and useful for decision makers.

Search Professor David Pullar’s works on UQ eSpace

105 works between 1997 and 2022
All (105) Journal Article (50) Book Chapter (10) Conference Publication (41) Book (1) Other Outputs (3)

61 - 80 of 105 works

2005

Journal Article

Describing dynamic modeling for landscapes with vector map algebra in GIS

Wang, Xuyan and Pullar, David (2005). Describing dynamic modeling for landscapes with vector map algebra in GIS. Computers and Geosciences, 31 (8), 956-967. doi: 10.1016/j.cageo.2005.02.015

Describing dynamic modeling for landscapes with vector map algebra in GIS

2005

Journal Article

Incorporating level set methods in Geographical Information Systems (GIS) for land-surface process modeling

Pullar, David (2005). Incorporating level set methods in Geographical Information Systems (GIS) for land-surface process modeling. Advances in Geosciences, 4, 17-22. doi: 10.5194/adgeo-4-17-2005

Incorporating level set methods in Geographical Information Systems (GIS) for land-surface process modeling

2005

Journal Article

Modeling the age of tropical moist forest fragments in heavily-cleared lowland landscapes of Colombia

Etter, Andres, McAlpine, Clive, Pullar, David and Possingham, Hugh (2005). Modeling the age of tropical moist forest fragments in heavily-cleared lowland landscapes of Colombia. Forest Ecology and Management, 208 (1-3), 249-260. doi: 10.1016/j.foreco.2004.12.008

Modeling the age of tropical moist forest fragments in heavily-cleared lowland landscapes of Colombia

2005

Conference Publication

Bioregion classification using model-based clustering: a case study in North Eastern Queensland

Accad, A., Low Choy, S., Pullar, D. and Rochester, W. (2005). Bioregion classification using model-based clustering: a case study in North Eastern Queensland. International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, MODSIM05, Melbourne, Australia, 12-15 December 2005. Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ).

Bioregion classification using model-based clustering: a case study in North Eastern Queensland

2005

Conference Publication

Place-based indicators for natural resource planning

Pullar, D. (2005). Place-based indicators for natural resource planning. MODSIM 2005 International Congress on Modelling and Simulation, The University of Melbourne, Parkville, Victoria, 12th - 15th December 2005. Canberra: Modelling and Simulation Society of Australia and New Zealand (MODSIM).

Place-based indicators for natural resource planning

2004

Other Outputs

Conserving koala (Phascolarctos cinereus) populations in a fragmented landscape (Noosa Queensland)

McAlpine, Clive, Callaghan, John G., Bowen, Michiala E., Lunney, Daniel, Rhodes, Jonathan R., Mitchell, David L., Pullar, David and Possingham, Hugh (2004). Conserving koala (Phascolarctos cinereus) populations in a fragmented landscape (Noosa Queensland). -:

Conserving koala (Phascolarctos cinereus) populations in a fragmented landscape (Noosa Queensland)

2004

Conference Publication

SimuMap: A computational system for spatial modelling

Pullar, D. (2004). SimuMap: A computational system for spatial modelling. Elsevier BV. doi: 10.1016/S1364-8152(03)00151-8

SimuMap: A computational system for spatial modelling

2004

Conference Publication

Ecoregion classification using a bayesian approach and centre-focused clusters

Pullar, D. V., Low Choy, S. and Rochester, W. A. (2004). Ecoregion classification using a bayesian approach and centre-focused clusters. iEMSs 2004 - Complexity & Integrated Resources Management, Osnabruck, Germany, 14-17 June, 2004. Switzerland: International Environmental Modelling & Software Soc. (iEMSs).

Ecoregion classification using a bayesian approach and centre-focused clusters

2004

Conference Publication

Image-based versatile LU information: A multidimensional classification scheme to support local planning in Indonesia

Danoedoro, Projo, McDonald, Geoffrey, Phinn, Stuart and Pullar, David (2004). Image-based versatile LU information: A multidimensional classification scheme to support local planning in Indonesia. 20th ISPRS Congress on Technical Commission, Istanbul, Turkey, 12-23 July 2004. International Society for Photogrammetry and Remote Sensing.

Image-based versatile LU information: A multidimensional classification scheme to support local planning in Indonesia

2004

Conference Publication

Collaborative decision-making processes for maintaining biodiversity: Two Australian case studies

Pettit, C. and Pullar, D. V. (2004). Collaborative decision-making processes for maintaining biodiversity: Two Australian case studies. iEMSs 2004 - Complexity and Integrated Resources Management, Osnabruck, Germany, 14-17 June 2004. Switzerland: International Environmntal Modelling & Software Soc. (iEMSs).

Collaborative decision-making processes for maintaining biodiversity: Two Australian case studies

2004

Journal Article

A way forward for land-use planning to achieve policy goals by using spatial modelling scenarios

Pettit, Christopher and Pullar, David (2004). A way forward for land-use planning to achieve policy goals by using spatial modelling scenarios. Environment And Planning B-planning & Design, 31 (2), 213-233. doi: 10.1068/b3024

A way forward for land-use planning to achieve policy goals by using spatial modelling scenarios

2004

Journal Article

SimuMap: a computational system for spatial modelling

Pullar, D. V. (2004). SimuMap: a computational system for spatial modelling. Environmental Modelling and Software, 19 (3), 235-243. doi: 10.1016/S1364-8152(03)00151-8

SimuMap: a computational system for spatial modelling

2004

Conference Publication

Incorporating level set methods in Geographical Information Systems (GIS) for land-surface process modelling

Pullar, D. V. (2004). Incorporating level set methods in Geographical Information Systems (GIS) for land-surface process modelling. iEMSs 2004 - Complexity & Integrated Resources Management, Osnabruck, Germany, 14-17 June 2004. Switzerland: International Environmental Modelling & Software Soc. (iEMSs).

Incorporating level set methods in Geographical Information Systems (GIS) for land-surface process modelling

2003

Journal Article

Simulation modelling applied to runoff modelling using mapscript

Pullar, David (2003). Simulation modelling applied to runoff modelling using mapscript. Transactions in GIS, 7 (2), 267-283. doi: 10.1111/1467-9671.00144

Simulation modelling applied to runoff modelling using mapscript

2003

Conference Publication

Urban environmental planning and growth forecasting using GIS

Pullar, David V. and Petit, C. (2003). Urban environmental planning and growth forecasting using GIS. State of Australian Cities Conference, Parramatta, NSW Australia, 3-5 December 2003. Sydney, NSW Australia: University of Western Sydney.

Urban environmental planning and growth forecasting using GIS

2003

Conference Publication

Pedestrian navigation in three dimensions using a handheld computer

Voigt, M., Tidey, M., Pullar, D. V. and Clarkson, I.V.L. (2003). Pedestrian navigation in three dimensions using a handheld computer. The 6th International Conference on Satellite Navigation Tech, Melbourne, Victoria, 22-25 July, 2003. Milton, Queensland: Menay Pty Ltd.

Pedestrian navigation in three dimensions using a handheld computer

2002

Conference Publication

Formulating a successful online course for E-learning

Pettit, C. and Pullar, D. V. (2002). Formulating a successful online course for E-learning. e-future into the mainstream, Adelaide, Adelaide Convention Centre, 25-30 November, 2002. Adelaide, South Australia: AURISA.

Formulating a successful online course for E-learning

2002

Book Chapter

A community-based and collaborative GIS joint venture in rural Australia

Walker, D.H., Leitch, A.M., de Lai, R., Cottrell, A., Johnson, A. K.L and Pullar, D. V. (2002). A community-based and collaborative GIS joint venture in rural Australia. Community Participation and Geographical Information Systems. (pp. 137-152) edited by D.H. Walker, A.M. Leitch, R. de Lai, Al. Cottrell, A.K.L. Johnson and D. Pullar. United Kingdom: Taylor & Francis.

A community-based and collaborative GIS joint venture in rural Australia

2002

Conference Publication

Vector map algebra for dynamic erosion/deposition modelling

Wang, X. and Pullar, D. V. (2002). Vector map algebra for dynamic erosion/deposition modelling. The Fourth International Conference of Modelling & Simulation, Victoria University, Melbourne, 11-13 November, 2002. Melbourne, Australia: Victoria University.

Vector map algebra for dynamic erosion/deposition modelling

2002

Journal Article

Using VRML to visualise landscape change and process

Pullar, D. V. (2002). Using VRML to visualise landscape change and process. Cartography, 31 (1), 1-9. doi: 10.1080/00690805.2002.9714175

Using VRML to visualise landscape change and process

Past funding

  • 2017 - 2022
    Mapping Aboriginal routes to link landscape knowledge and cultural identity
    ARC Linkage Projects
    Open grant
  • 2011 - 2012
    Developing multi-scale integrative approaches to tropical and dryland ecohydrological dynamics in data-poor environments
    UWA-UQ Bilateral Research Collaboration Award
    Open grant
  • 2008 - 2009
    When to stop pumping -making decisions that affect groundwater dependant ecosystems in the face of uncertainties and complexity
    UQ FirstLink Scheme
    Open grant
  • 2008 - 2009
    Combining GIS and Bayesian Networks in test -action strategies for risk assessment
    University of Melbourne
    Open grant
  • 2007 - 2010
    Restoration of Fragmented Brigalow Landscapes for Conservation: Evaluating Alternative Futures in a Changing Climate
    ARC Linkage Projects
    Open grant
  • 2006 - 2008
    Land capability assessment for forestry and agroforestry in southern Vietnam and Queensland
    Australian Centre for International Agricultural Research
    Open grant
  • 2006 - 2008
    Beyond discrete landscape metrics: spatial analysis tools and surface textural measures for quantifying gradients in landscape structure.
    ARC Discovery Projects
    Open grant
  • 2005 - 2008
    Towards a Landscape Conservation Culture: Broadening the spatio-temporal scope of ecological studies to anticipate change in Australian forested ecosystems
    ARC Linkage Projects
    Open grant
  • 2005 - 2008
    Developing surveillance protocols for weed incursions (CRC Project)
    CRC for Australian Weed Management
    Open grant
  • 2005 - 2006
    SEAS - Knowledge Integration and Exchange
    CRC for Coastal Zone, Estuary and Waterway Management
    Open grant
  • 2004 - 2009
    ARC Research Network in Enterprise Information Infrastructure (EII)
    ARC Research Networks
    Open grant
  • 2004 - 2007
    An Integrated Large Scale Urban Model and Spatial Decision Support System Simulating Growth and Evaluating Sustainability Outcomes for Southeast Queensland
    ARC Linkage Projects
    Open grant
  • 2004 - 2006
    SEAS - Modelling, monitoring and management interfacing for waterways
    CRC for Coastal Zone, Estuary and Waterway Management
    Open grant
  • 2004 - 2005
    Mosaic Vegetation Mapping: Incorporating Scale and Uncertainty in Decision Support Tools For Managing
    UQ FirstLink Scheme
    Open grant
  • 2004
    ARC Research Network in Enterprise Information Infrastructure (EII)
    ARC Seed Funding for Research Networks
    Open grant
  • 2003 - 2004
    Receiving Water Quality Model Custodianship
    Brisbane City Council
    Open grant
  • 2003
    Eastern Bristlebird Project in the Conondale Range
    Queensland National Parks & Wildlife Service
    Open grant
  • 2003
    Identification and assessment of culturally significant human modified landscapes (HML's): Development in traditional lands of the Lockhart River DOGIT, Cape York
    University of Queensland Research Development Grants Scheme
    Open grant
  • 2001 - 2003
    Using spatial simulation to create a process classification of provincial bioregions
    ARC Collaborative Grant (SPIRT)
    Open grant
  • 2001
    Incorporating Level Set Methods in Geographical Information Systems (GIS) for Land-Surface Process Modelling.
    UQ Early Career Researcher
    Open grant
  • 2000 - 2001
    Urban tree cover analysis and software investigation
    Brisbane City Council
    Open grant
  • 2000
    Applicability of information flows to building distributed spatial modeling systems.
    ARC Australian Research Council (Small grants)
    Open grant
  • 1999 - 2000
    Evaluation of city green software using Brisbane data
    Brisbane City Council
    Open grant
  • 1996
    User views of spatial data catalogs and metadata
    University of Queensland New Staff Research Grant
    Open grant

Availability

Dr David Pullar is:
Available for supervision

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Supervision history

Current supervision

  • Doctor Philosophy

    Using Lidar plot metrics to produce estimates of Pinus caribaea in Southern Eastern Queensland.

    Principal Advisor

  • Doctor Philosophy

    USING MACHINE LEARNING TO PREDICT SPECIES, MERCHANTABLE PRODUCT VOLUME, AND PIECE SIZE OF SOUTHERN INTERIOR TREE SPECIES IN BRITISH COLUMBIA, CANADA

    Principal Advisor

Completed supervision

Enquiries

Contact Dr David Pullar directly for media enquiries about:

  • Environmental assessments GIS
  • Geodatabase development
  • Geoweb services
  • GIS environmental assessments
  • Spatial data modelling

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