Fractals: A User's Guide for the Natural Sciences

Fractals: A User's Guide for the Natural Sciences

by Harold M. Hastings, George Sugihara, Harold M. Hartings
     
 

View All Available Formats & Editions

ISBN-10: 0198545975

ISBN-13: 9780198545972

Pub. Date: 01/27/1994

Publisher: Oxford University Press, USA

This insightful work explains Mandelbrot's fractal geometry and describes some of its most interesting applications. Fractal geometry exploits a characteristic property of the real world—self-similarity—to find simple rules for the assembly of complex natural objects. Beginning with the foundations of measurement in Euclidean geometry, the authors

Overview

This insightful work explains Mandelbrot's fractal geometry and describes some of its most interesting applications. Fractal geometry exploits a characteristic property of the real world—self-similarity—to find simple rules for the assembly of complex natural objects. Beginning with the foundations of measurement in Euclidean geometry, the authors progress from analogues in the geometry of random fractals to applications spanning the natural sciences, including the developmental biology of neurons and pancreatic islets, fluctuations of bird populations, patterns in vegetative ecosystems, and even earthquake models. Written to enable students and researchers to master the methods of this timely subject, the book steers a middle course between the formality of many papers in mathematics and the informality of picture-orientated books on fractals. It is both a logically developed text and an essential "fractals for users" handbook. It is an essential resource for researchers and students in ecology, biology, applied mathematics, and plant and environmental sciences.

Product Details

ISBN-13:
9780198545972
Publisher:
Oxford University Press, USA
Publication date:
01/27/1994
Pages:
248
Product dimensions:
6.13(w) x 9.25(h) x 0.57(d)

Table of Contents

PART I: Introduction
1. Our View of Nature
PART II: The Mathematics of Random Fractals
2. Fractals and Power Law Scaling
3. Dimension of Patterns
4. Dimension of Graphs of Functions
5. The Fourier Transform
PART III: The Bridge to Applications
6. Modelling Spatial and Temporal Patterns
7. Alternative Models
8. Examples
9. Fractal Analysis of Time Series
PART IV: Case Studies
10. Case Studies: Pattern and Process in Vegetative Ecosystems
11. Scaling Behavior of Density-dependent Populations under Random Noise
PART V: The Toolbox
12. Programs

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >