Spatial Data Templates: Combining Simple Models of Physical Processes with Stochastic Noise to Yield Stable, Archetypal Landforms

  1. Poppe de Boer3,
  2. George Postma3,
  3. Kees van der Zwan4,
  4. Peter Burgess4 and
  5. Peter Kukla5
  1. Peter A. Burrough

Published Online: 9 FEB 2009

DOI: 10.1002/9781444303131.ch12

Analogue and Numerical Modelling of Sedimentary Systems: From Understanding to Prediction

Analogue and Numerical Modelling of Sedimentary Systems: From Understanding to Prediction

How to Cite

Burrough, P. A. (2008) Spatial Data Templates: Combining Simple Models of Physical Processes with Stochastic Noise to Yield Stable, Archetypal Landforms, in Analogue and Numerical Modelling of Sedimentary Systems: From Understanding to Prediction (eds P. de Boer, G. Postma, K. van der Zwan, P. Burgess and P. Kukla), Wiley-Blackwell, Oxford, UK. doi: 10.1002/9781444303131.ch12

Editor Information

  1. 3

    Utrecht University, Netherlands

  2. 4

    Shell Research, Rijswijk, Netherlands

  3. 5

    Aachen University, Germany

Author Information

  1. Department of Physical Geography, Faculty of Geosciences, Utrecht University, P.O. Box 80.115, 3508 TC, Utrecht, The Netherlands

  1. Visiting Professor of Geography, Oxford University Centre for the Environment, Oxford University, UK (OUCE)

Publication History

  1. Published Online: 9 FEB 2009
  2. Published Print: 28 NOV 2008

Book Series:

  1. Special Publication Number 40 of the International Association of Sedimentologists

Book Series Editors:

  1. Isabel Montanez

Series Editor Information

  1. University of California, Davis, USA

ISBN Information

Print ISBN: 9781405189309

Online ISBN: 9781444303131

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Keywords:

  • spatial data templates;
  • Quincunx as template for simulating mathematics of normal distribution;
  • generic tools for modelling hydrological and geomorphological processes;
  • ‘spatial data templates’ (SDT);
  • braided-stream channels - bifurcations and avulsions over a range of scales;
  • cellular automaton model of Quincunx;
  • Quincunx in modeling erosion and sedimentation;
  • Quincunx implemented using PCRaster dynamic modelling language;
  • PCRaster code for volcano simulation

Summary

This chapter contains sections titled:

  • Introduction

  • Generic Tools for Modelling Hydrological and Geomorphological Processes: The Spatial Data Template

  • A Simple, Spatial Data Template - The Quincunx

  • A Cellular Automatonmodel of the Quincunx

  • Using the Quincunx to Model Erosion and Sedimentation

  • Some Simple Experiments of Fan Generation and their Results

  • Discussion and Conclusions

  • References