Moira Zellner
Moira Zellner
Professor in Public Policy and Public Affairs, Director of Participatory Modeling and Data Science
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Path dependence and the validation of agent‐based spatial models of land use
DG Brown, S Page, R Riolo, M Zellner, W Rand
International journal of geographical information science 19 (2), 153-174, 2005
Collaborative resilience: Moving through crisis to opportunity
C Ozawa, M Zellner
MIT press, 2012
Exurbia from the bottom-up: Confronting empirical challenges to characterizing a complex system
DG Brown, DT Robinson, L An, JI Nassauer, M Zellner, W Rand, R Riolo, ...
Geoforum 39 (2), 805-818, 2008
Tools and methods in participatory modeling: Selecting the right tool for the job
A Voinov, K Jenni, S Gray, N Kolagani, PD Glynn, P Bommel, C Prell, ...
Environmental Modelling & Software 109, 232-255, 2018
Big data and urban informatics: innovations and challenges to urban planning and knowledge discovery
PV Thakuriah, NY Tilahun, M Zellner
Seeing cities through big data, 11-45, 2017
A new framework for urban sustainability assessments: Linking complexity, information and policy
ML Zellner, TL Theis, AT Karunanithi, AS Garmestani, H Cabezas
Computers, environment and urban systems 32 (6), 474-488, 2008
Embracing complexity and uncertainty: the potential of agent-based modeling for environmental planning and policy
ML Zellner
Planning Theory & Practice 9 (4), 437-457, 2008
Exploring the effects of green infrastructure placement on neighborhood-level flooding via spatially explicit simulations
M Zellner, D Massey, E Minor, M Gonzalez-Meler
Computers, Environment and Urban Systems 59, 116-128, 2016
Planning for deep-rooted problems: What can we learn from aligning complex systems and wicked problems?
M Zellner, SD Campbell
Planning Theory & Practice 16 (4), 457-478, 2015
Exploring the effectiveness of bus rapid transit a prototype agent-based model of commuting behavior
S McDonnell, M Zellner
Transport Policy 18 (6), 825-835, 2011
Introduction to seeing cities through big data: Research, methods and applications in urban informatics
PV Thakuriah, NY Tilahun, M Zellner
Seeing Cities Through Big Data, 1-9, 2017
Purpose, processes, partnerships, and products: four Ps to advance participatory socio‐environmental modeling
S Gray, A Voinov, M Paolisso, R Jordan, T BenDor, P Bommel, P Glynn, ...
Ecological applications 28 (1), 46-61, 2018
Eight grand challenges in socio-environmental systems modeling
S Elsawah, T Filatova, AJ Jakeman, AJ Kettner, ML Zellner, ...
Socio-Environmental Systems Modelling 2, 16226-16226, 2020
Statistical validation of spatial patterns in agent-based models
W Rand, DG Brown, SE Page, R Riolo, LE Fernandez, M Zellner
Proceedings of agent based simulation 4, 2003
Linking MODFLOW with an agent‐based land‐use model to support decision making
HW Reeves, ML Zellner
Groundwater 48 (5), 649-660, 2010
Modeling, Learning, and Planning Together: An Application of Participatory Agent-based Modeling to Environmental Planning.
ML Zellner, LB Lyons, CJ Hoch, J Weizeorick, C Kunda, DC Milz
Journal of the Urban & Regional Information Systems Association 24 (1), 2012
Twelve questions for the participatory modeling community
R Jordan, S Gray, M Zellner, PD Glynn, A Voinov, B Hedelin, EJ Sterling, ...
Earth's Future 6 (8), 1046-1057, 2018
The complex interaction of agents and environments: An example in urban sprawl
W Rand, M Zellner, SE Page, R Riolo, DG Brown, LE Fernandez
Proceedings of Agent, 149-161, 2002
Emergent effects of residential lighting choices: prospects for energy savings
AL Hicks, TL Theis, ML Zellner
Journal of Industrial Ecology 19 (2), 285-295, 2015
Generating policies for sustainable water use in complex scenarios: an integrated land-use and water-use model of Monroe County, Michigan
ML Zellner
Environment and Planning B: Planning and Design 34 (4), 664-686, 2007
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Artículos 1–20