Computer Simulation in Physical Geography
Wiley (Publisher)
Published on 25. November 1987
Book
Hardback
236 pages
978-0-471-90604-9 (ISBN)
Description
During the 1980s, computers have changed from the typically large, main-frame machines for skilled users to the more commonly seen desktop micro-computers, accessible to people in the home, at school or in the office. This book introduces these new users with interests in physical geography towards the use and programming of simulation models. In a hands-on training manual for students and teachers, no basic knowledge of simulation methods is necessary. The first section demonstrates how to formulate models from generalized systems diagrams through to mathematical and/or logical expressions. Modelling concepts are then treated in a more advanced manner, showing ways in which to get the best out of models covered in the first section. The process of model formulation is developed more fully with discussion of styles and the relation of models to real problems. Finally, more complex models which have been used in pure and applied research are covered. These demonstrate the potential of modelling in the field of physical geography.
More details
Language
English
Place of publication
Chichester
United Kingdom
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
illustrations, index
Dimensions
Height: 230 mm
Width: 150 mm
Weight
560 gr
ISBN-13
978-0-471-90604-9 (9780471906049)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
Introduction: Getting Started: What is a Model in Physical Geography?, Writing a Computer Simulation Model; Black Box Models: The Structure of Systems, Regression and Schematic Models; Process Models: Prediction of Runoff, Ecological Models; Mass and Energy Balance Models: Models with no Storage, Linear Multi-store Models; Stochastic Models: Kinematic Waves for Gravel Bed-load, Channel Network Simulations, Other Examples; Model Formulation and Construction: Defining an Algorithm, Flow Diagram, Input and Output Design; Model Calibration and Verification: Assessing Model Accuracy, Data Requirements for Modelling; Alternative Modelling Styles: Choice of System of Interest, More Complex Models.