Spatial Evolutionary Modeling Book

Spatial Evolutionary Modeling, Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades, are now emerging as an important new tool in GIS for a number of reasons. First, they are highly appropriate for modeling geographic ph, Spatial Evolutionary Modeling

3 out of 5 stars based on 2 reviews

Spatial Evolutionary Modeling
Written by author Roman M. Krzanowski
Published by Oxford University Press, USA, August 2001
Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades, are now emerging as an important new tool in GIS for a number of reasons. First, they are highly appropriate for modeling geographic ph
Noting that users of geographical information systems (GIS) have not often applied the evolutionary modeling approach that is now common in many other fields, computer scientists and related scholars from Europe and the US explain the basics of the approa

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Foreword
Contributors
Pt. I Evolutionary Algorithms: An Introduction
1 Concepts of Evolutionary Modeling and Evolutionary Algorithms 3
Pt. II Spatial Evolutionary Modeling: Algorithms and Models
2 Modeling Spatial Phenomena 63
Pt. III Spatial Evolutionary Algorithms: Applications
3 Beyond Data: Handling Spatial and Analytical Contexts with Genetics-Based Machine Learning 127
4 A Genetic Algorithm to Design Optimal Patch Configurations Using Raster Data Structures 142
5 Designing Genetic Algorithms to Solve GIS Problems 158
6 Evolutionary Modeling of Routes: The Case of Road Design 180
7 Airspace Sectoring by Evolutionary Computation 203
Index 235

Title: Spatial Evolutionary Modeling

Manufacturer:

University Press

Item Number: 9780195135688

Publication Date: August 2001

Number: 1

Product Description: Spatial Evolutionary Modeling

Universal Product Code (UPC): 9780195135688

WonderClub Stock Keeping Unit (WSKU): 9780195135688

Rating: 3/5 based on 2 Reviews

Image Location: https://wonderclub.com/images/covers/56/88/9780195135688.jpg

Category: Media >> Books

Weight: 0.200 kg (0.44 lbs)

Width: 9.100 cm (3.58 inches)

Heigh : 6.100 cm (2.40 inches)

Depth: 0.800 cm (0.31 inches)

Date Added: August 25, 2020, Added By: Ross

Date Last Edited: August 25, 2020, Edited By: Ross

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$170.00	Digital	Arrives between May 13 - Jun 12 Login to your account for a direct download. Some files are emailed from Dropbox. Continent $0.00 - World $0.00	WonderClub (9296 total ratings)

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Michael P Napier

reviewed Spatial Evolutionary Modeling on September 24, 2018

Spatial Evolutionary Modeling

Nice pictures, nice explanations. In the books are explained even some other used optimization algorithms

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Spatial Evolutionary Modeling, Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades,
are now emerging as an important new tool in GIS for a number of reasons. First, they are highly appropriate for modeling geographic ph, Spatial Evolutionary Modeling

Add Spatial Evolutionary Modeling, Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades, are now emerging as an important new tool in GIS for a number of reasons. First, they are highly appropriate for modeling geographic ph, Spatial Evolutionary Modeling to the inventory that you are selling on WonderClub

Add Spatial Evolutionary Modeling, Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades, are now emerging as an important new tool in GIS for a number of reasons. First, they are highly appropriate for modeling geographic ph, Spatial Evolutionary Modeling to your collection on WonderClub

Spatial Evolutionary Modeling Book

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	Foreword
	Contributors
Pt. I	Evolutionary Algorithms: An Introduction
1	Concepts of Evolutionary Modeling and Evolutionary Algorithms	3
Pt. II	Spatial Evolutionary Modeling: Algorithms and Models
2	Modeling Spatial Phenomena	63
Pt. III	Spatial Evolutionary Algorithms: Applications
3	Beyond Data: Handling Spatial and Analytical Contexts with Genetics-Based Machine Learning	127
4	A Genetic Algorithm to Design Optimal Patch Configurations Using Raster Data Structures	142
5	Designing Genetic Algorithms to Solve GIS Problems	158
6	Evolutionary Modeling of Routes: The Case of Road Design	180
7	Airspace Sectoring by Evolutionary Computation	203
	Index	235