Computer simulation in physical geography
著者
書誌事項
Computer simulation in physical geography
Wiley, c1987
大学図書館所蔵 全18件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliograohies and index
内容説明・目次
内容説明
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.
目次
- 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.
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