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

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.