Modelling and Spatial Analysis Lab

��ݮ��Ƶ

Skip to main Skip to footer

University of ��ݮ��Ƶ

Publications

Show only items where

Author

Type

Term

Year

Keyword

Author Title Type [ Year

]

2021

Zhang, J. , & Robinson, D. T. . (2021). Replication of an agent-based model using the Replication Standard. Environmental Modelling and Software, 139, 105016. Retrieved from

Meinen, B. U. , & Robinson, D. T. . (2021). Agricultural erosion modelling: Evaluating USLE and WEPP field-scale erosion estimates using UAV time-series data. Environmental Modelling and Software, 137, 104962. Retrieved from

2018

Robinson, D. T. , Di Vittorio, A. , Alexander, P. , Arneth, A. , C. Barton, M. , Brown, D. G. , Kettner, A. , et al. (2018). Earth System Dynamics. Modelling feedbacks between human and natural processes in the land system. Retrieved from

Robinson, D. T. , & Balulescu, A. M. . (2018). International Journal of Geographical Information Science. Comparison of methods for quantifying consumer spending on retail using publicly available data. Retrieved from

Sun, B. , & Robinson, D. . (2018). Land. Comparison of Statistical Approaches for Modelling Land-Use Change. Retrieved from

2017

Robinson, D. T. , Di Vittorio, A. , Alexander, P. , Arneth, A. , C. Barton, M. , Brown, D. G. , Kettner, A. , et al. (2017). Earth System Dynamics Discussions. Modelling feedbacks between human and natural processes in the land system. Retrieved from

2016

Evans, I. S. , Miki, J. , Ho, J. , & Robinson, D. T. . (2016). International Journal of Remote Sensing. Benchmarking stereo-derived DSMs to lidar by land cover and slope for resource development in northern Ontario, Canada. Retrieved from

2015

Guillem, E. E. , Murray-Rust, D. , Robinson, D. T. , Barnes, A. , & Rounsevell, M. D. A. . (2015). Agricultural Systems. Modelling farmer decision-making to anticipate tradeoffs between provisioning ecosystem services and biodiversity. Retrieved from

Bell, A. R. , Robinson, D. T. , Malik, A. , & Dewal, S. . (2015). Environmental Modelling and Software. Modular ABM development for improved dissemination and training. Retrieved from

Rooney, R. C. , Robinson, D. T. , & Petrone, R. . (2015). Nature Climate Change. Megaproject reclamation and climate change. Retrieved from

2014

Sun, S. , Parker, D. C. , Huang, Q. , Filatova, T. , Robinson, D. T. , Riolo, R. L. , Hutchins, M. , et al. (2014). Annals of the Association of American Geographers. Market Impacts on Land-Use Change: An Agent-Based Experiment. Retrieved from

Huang, Q. , Robinson, D. T. , & Parker, D. C. . (2014). Landscape Ecology. Quantifying spatial-temporal change in land-cover and carbon storage among exurban residential parcels. Retrieved from

Murray-Rust, D. , Brown, C. , van Vliet, J. , Alam, S. J. , Robinson, D. T. , Verburg, P. H. , & Rounsevell, M. . (2014). Environmental Modelling and Software. Combining agent functional types, capitals and services to model land use dynamics. Retrieved from

Murray-Rust, D. , Robinson, D. T. , Guillem, E. , Karali, E. , & Rounsevell, M. . (2014). Environmental Modelling and Software. An open framework for agent based modelling of agricultural land use change. Retrieved from

2013

Murray-Rust, D. , Rieser, V. , Robinson, D. T. , Miličič, V. , & Rounsevell, M. . (2013). Environmental Modelling and Software. Agent-based modelling of land use dynamics and residential quality of life for future scenarios. Retrieved from

Robinson, D. T. , Sun, S. , Hutchins, M. , Riolo, R. L. , Brown, D. G. , Parker, D. C. , Filatova, T. , et al. (2013). Environmental Modelling and Software. Effects of land markets and land management on ecosystem function: A framework for modelling exurban land-change. Retrieved from

Agrawal, A. , Brown, D. G. , Rao, G. , Riolo, R. , Robinson, D. T. , & Bommarito, M. . (2013). Environmental Science and Policy. Interactions between organizations and networks in common-pool resource governance. Retrieved from

Luus, K. A. , Robinson, D. T. , & Deadman, P. J. . (2013). Journal of Land Use Science. Representing ecological processes in agent-based models of land use and cover change. Retrieved from

2012

Parker, D. C. , Brown, D. G. , Filatova, T. , Riolo, R. , Robinson, D. T. , & Sun, S. . (2012). Agent-Based Models of Geographical Systems. Do land markets matter? A modeling ontology and experimental design to test the effects of land markets for an agent-based model of ex-urban residential land-use change. Retrieved from

Robinson, D. T. , Murray-Rust, D. , Rieser, V. , Miličič, V. , & Rounsevell, M. . (2012). Computers, Environment and Urban Systems. Modelling the impacts of land system dynamics on human well-being: Using an agent-based approach to cope with data limitations in Koper, Slovenia. Retrieved from

Recent Publications

Zhang, J. , & Robinson, D. T. . (2021). Replication of an agent-based model using the Replication Standard. Environmental Modelling and Software, 139, 105016. Retrieved from Abstract

Despite the critical role that replication plays in the advancement of science, its presence in modelling literature is rare. To encourage others to conduct replication and report success and challenges that facilitate or hinder replication, we present the replication of an agent-based model (ABM) of residential sprawl using the Replication Standard. Replication results achieved relational equivalence. Through the replication process, issues with the original research were identified and corrected in an Improved model, which qualitatively supported original results. A specific challenge affecting alignment of original and Replicate models included capturing model output variability and publishing all original output data for statistical analysis. Through the replication of agent-based models, additional confidence in model behaviour can be garnered and replicated can become accredited for reuse by others. Future research in the development and refinement of replication methodology and assessments should be cultivated along with a culture of value for replication efforts.

Soil erosion models, typically applied at basin and watershed scales, are rarely evaluated at agricultural field scales due to the lack of spatially-distributed time series data. A novel unmanned aerial vehicle (UAV) methodology was used to quantify farm-field soil erosion from nine UAV surveys and structure-from-motion (SfM). Using a semi-distributed approach, we evaluated soil erosion estimates from the Universal Soil Loss Equation (USLE) and Water Erosion Prediction Project (WEPP). The annual erosion rate, measured with the UAV methodology, was 18.83 t ha⁻¹��⁻¹, with USLE and WEPP predictions of 26.23 t ha⁻¹��⁻¹ and 16.41 t ha⁻¹��⁻¹, respectively. Modelled annual and sub-annual erosion rates with WEPP were within the upper-limit of predictive accuracy, while the USLE tended to systematically overestimate soil erosion rates. These outcomes have implications on the efficacy of conservation efforts, which is highlighted through a discussion and comparison of different best-management practice applications.

Sun, B. , & Robinson, D. . (2018). Land. Comparison of Statistical Approaches for Modelling Land-Use Change. Retrieved from

University of ��ݮ��Ƶ

43.471468

-80.544205

200 University Avenue West

��ݮ��Ƶ, ON, Canada N2L 3G1

��ݮ��Ƶ