Thompson Rivers University
Thompson Rivers University

David Hill

David Hill

David Hill

Name: Dr. David Hill
Position: Associate Professor
Phone: (250) 828-5099
Email: dhill@tru.ca

Links

Homepage URL: www.faculty.tru.ca/dhill

Research Interests

Real-time modeling of large-scale environmental systems
Sustainability and adaption to climate change
Adaptive management of water resources systems
Real-time data assimilation and fusion
Data mining and machine learning
Remote and embedded sensing of environmental systems

Education

PhD, Environmental Engineering and Science, University of Illinois at Urbana-Champaign
MS, Environmental Engineering and Science, University of Illinois at Urbana-Champaign
BS, Environmental Engineering, Cornell University

Publications

*Indicates student under my supervision

*LaZerte, S.E., M.W. Reudink, K.A. Otter, J.Kusack, J.M. Bailey, A. Woolverton, M. Paetkau, A. deJong, and D.J. Hill (2017). feedr and animalnexus.ca: A paired R package and user-friendly Web application for transforming and visualizing animal movement data from static stations. Ecology and Evolution. DOI: 10.1002/ece3.3240

*Richardson, H.J., D.J. Hill, D.R. Denesiuk and L.H. Fraser (2017). A comparison of geographic datasets and field measurements to model soil carbon using random forests and stepwise regressions (British Columbia, Canada). GIScience and Remote Sensing, 54(4): 573-591. DOI: 10.1080/15481603.2017.1302181

Hill, D.J. C. Tarasoff, *G.E. Whitworth, *J. Baron, J.L. Bradshaw, and J. Church (2017). Utility of Unmanned aerial vehicles for mapping invasive plant species: a case study on yellow flag iris (Iris pseudacorus L.). International Journal of Remote Sensing, 38(9-10): 2083-2105. doi: 10.1080/01431161.2016.1264030.

Hill, D.J. (2015). Assimilation of Weather Radar and Binary Ubiquitous Sensor Measurements for Quantitative Precipitation Estimation. Journal of Hydroinformatics, 17(4): 589-613. doi: 10.2166/hydro.2015.072

Hill, D.J. and *J. Baron (2015). radar.IRIS: A free, open, and transparent R library for processing Canada's Weather Radar Data. Canadian Water Resources Journal / Revue canadienne des ressources hydriques, 40(4): 409-422. doi: 10.1080/07011784.2015.1074527.

*Liang, X., K. Caton, and D.J. Hill (2015). Lessons from the Road: Travel, Life-Wide Learning, and Higher Education. Journal of Travel and Teaching in Tourism, 15(3): 225-241. doi: 10.1080/15313220.2015.1059307

Hill, D.J., B. Kerkez, A. Rasekh, A. Ostfeld, B. Minsker, and M.K. Banks (2014). Sensing and Cyberinfrastructure for Smarter Water Management: The Promise and Challenge of Ubiquity. Journal of Water Resources Planning and Management, 140(7): 01814002. doi: 10.1061/(ASCE)WR.1943-5452.0000449

Hill, D.J. (2013). Evaluation of the Temporal Relationship between Daily Min/Max Air and Land Surface Temperature. International Journal of Remote Sensing, 34(24): 9002-9015. doi:10.1080/01431161.2013.860661

Hill, D.J. (2013). An assessment of spatial models for daily minimum and maximum air temperature. GIScience and Remote Sensing, 50(3): 281-300. doi: 10.1080/15481603.2013.808459

Hill, D.J. (2013). Automated Bayesian Quality Control of Streaming Rain Gauge Data. Environmental Modelling and Software, 40: 289-301. doi: 10.1016/j.envsoft.2012.10.006

Hill, D.J., Y. Liu, L. Marini, R. Kooper, A. Rodriguez, J. Futrelle, B.S. Minsker, J. Myers, and T. McLaren (2011). A virtual sensor system for user-generated, real-time environmental data products. Environmental Modelling and Software, 26(12): 1710-1724. doi: 10.1016/j.envsoft.2011.09.001

Hill, D.J. and Minsker, B.S. (2010). Anomaly detection in streaming environmental sensor data: A data-driven modeling approach. Environmental Modelling and Software, 25(9): 1014-1022. doi:10.1016/j.envsoft.2009.08.010

Hill, D.J., B.S. Minsker, and E. Amir (2009). Real-time Bayesian anomaly detection in streaming environmental data. Water Resources Research, 45: W00D28. doi:10.1029/2008WR006956

Hill, D.J., A.J. Valocchi, B.S. Minsker, V. Babovic, and M. Keijzer (2007). Upscaling models of solute transport in porous media through genetic programming. Journal of Hydroinformatics, 9(4): 251-266.

Employment History

2015-Present: Associate Professor Thompson Rivers University, Kamloops, BC, Canada
2012-2015: Assistant Professor Thompson Rivers University, Kamloops, BC, Canada
2009-2012: Assistant Professor, Rutgers, the State University of New Jersey, New Brunswick, NJ, USA
2007-2009: Postdoctoral Research Associate, National Center for Supercomputing Applications, Urbana, IL, USA

Courses Taught

GEOG 1000: Planet Earth: An Introduction to Earth Systems Science
GEOG 2700: Introduction to Geographic Analysis
GEOG 2750: Introduction to Geographical Information Systems
GEOG 3060: Groundwater Hydrology
GEOG 3740: Introduction to Remote Sensing
GEOG 3750: Applications of Geographical Information Systems
GEOG 4740: Spatiotemporal Analysis
GEOG 4750: Advances in Geoinformatics

Professional Affiliations

American Society of Civil Engineers (ASCE)
Environmental and Water Resources Institute (EWRI)
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