Mcnall miles (16 resultados)

Paperback. Condición: Good. Good - Bumped and creased book with tears to the extremities, but not affecting the text block, may have remainder mark or previous owner's name - GOOD PAPERBACK Standard-sized.

Condición: New.

Condición: New.

Condición: New.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: new.

Condición: As New. Unread book in perfect condition.

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Condición: New. In English.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: New. Collaborative applications of a variety of modeling methodologies have multiplied in recent decades due to widespread recognition of the power of models to integrate information from multiple sources, test assumptions about policy and management choices, and forecast the future states of complex systems. However, information about these modeling efforts often is segregated by both discipline and modeling approach, preventing modelers from learning from one another. This volume addresses the need for cross-disciplinary and cross-methodological communication about collaborative modeling. To enhance a shared understanding of systems problems, scientists and stakeholders need strategies for integrating information from their respective fields, dealing with issues of scale and focus, and rigorously investigating assumptions. The chapters in this volume first explore modeling methodologies for enhanced collaboration, then offer case studies of collaborative modeling across different complex systems problems. The volume will be useful for experienced and beginning modelers as well as scientists and stakeholders who work with modelers.…

Paperback. Condición: Brand New. 310 pages. 10.00x7.00x0.75 inches. In Stock.

Condición: New. pp. 380.

Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New. pp. 380.

Paperback. Condición: New. Collaborative applications of a variety of modeling methodologies have multiplied in recent decades due to widespread recognition of the power of models to integrate information from multiple sources, test assumptions about policy and management choices, and forecast the future states of complex systems. However, information about these modeling efforts often is segregated by both discipline and modeling approach, preventing modelers from learning from one another. This volume addresses the need for cross-disciplinary and cross-methodological communication about collaborative modeling. To enhance a shared understanding of systems problems, scientists and stakeholders need strategies for integrating information from their respective fields, dealing with issues of scale and focus, and rigorously investigating assumptions. The chapters in this volume first explore modeling methodologies for enhanced collaboration, then offer case studies of collaborative modeling across different complex systems problems. The volume will be useful for experienced and beginning modelers as well as scientists and stakeholders who work with modelers.…