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Computational Analytics for Supporting Environmental Decision-Making and Analysis
Guest Editor: J. S. Yeomans
Schulich School of Business, York University, Toronto, Ontario M3J 1P3, Canada
Guest Editor: J. S. Yeomans
Schulich School of Business, York University, Toronto, Ontario M3J 1P3, Canada
Computational Analytics for Supporting Environmental Decision-Making and Analysis: An Introduction | |
J. S. Yeomans | 48-49 |
Analyzing Renewable Energy Policies – Using the Pay-Off Method to Study the Finnish Auction-Based Renewable Energy Policy | |
L. Hietanen, M. Kozlova, M. Collan | 50-56 |
Identifying and Characterizing Cyclicality and Seasonality in Environmental Data with An Adaptive Filter Implementation of A Phase Locked Loop | |
J. D. Linton, E. Daw | 57-63 |
Optimizing Two-Stage Modular Wastewater Plant Expansions Using Numerical Methods and Simulation in A Real Options Context | |
Y. Lawryshyn, B. Zhang, M. Davison | 64-72 |
System Modeling and Sensitivity Analysis of the Iowa Food-Water-Energy Nexus | |
V. Raul, L. Leifsson, A. Kaleita | 73-79 |
River & Estuary Observation Network: Refinement of Stage Height Sensor Subsystem for Low Cost and High Reliability | |
W. D. Kirkey, C. B. Fuller, P. O’Brien, P. J. Kirkey, A. Mahmoud, A. N. Ernest, J. Guerrero | 80-87 |
Implications of Pulp and Paper Mill Primary Sludge Incineration versus Use in Composites Production: Decision-Making Based on Life Cycle Assessment | |
K. Mustonen, I. Deviatkin, M. Horttanainen, T. Kärki | 88-92 |
Visual Analytics in Environmental Decision-Making: A Comparison of Overlay Charts versus Simulation Decomposition | |
M. Kozlova, J. S. Yeomans | 93-100 |
Integrating Societal and Scientific Elements into Sustainable and Effective Water Resource Policy Development | |
J. L. Gutenson, A. N. S. Ernest, B. L. Bearden, C. Fuller, J. Guerrero | 101-108 |
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