Good Modelling Practice

Authors

• N. Crout, University of Nottingham
• T. Kokkonen, Helsinki University of Technology
• A.J. Jakeman, The Australian National University
• J.P. Norton, The Australian National University
• L.T.H. Newham, The Australian National University
• R. Anderson, Duke University
• H. Assaf, American University of Beirut
• B.F.W. Croke, The Australian National University,
• N. Gaber, US Environmental Protection Agency
• J. Gibbons, University of Wales
• D. Holzworth, CSIRO Sustainable Ecosystems
• J. Mysiak, Fondazione Eni Enrico Mattei, Palazzo Querini Stampalia
• J. Reichl, University of Melbourne
• R. Seppelt, Martin-Luther University
• T. Wagener, Pennsylvania State University
• P. Whitfield, Meteorological Service of Canada

Document Type

Article

Date of this Version

2008

Comments

Published in ENVIRONMENTAL MODELLING, SOFTWARE AND DECISION SUPPORT: STATE OF THE ART AND NEW PERSPECTIVES, edited by A. J. Jakeman, A. A. Voinov, A. E. Rizzoli, & S. H. Chen (Amsterdam et al.: Elsevier, 2008).

Abstract

Best-practice guidelines for Modelling have been developed by a numbers of organizations to promote better understanding of model development and application, facilitate tests of model quality and provide a framework for documenting and communicating modelling activities among modellers and decision makers. Good practice within a Data Mining paradigm is presented in Chapter 12.