Evolutionary models (e.g genetic algorithms, artificial life) are emerging as an important new tool for geographic information systems for a number of reasons. First, they are highly appropriate for modelling geographic phenomena; second, geographical problems are often spatially separate (broken down into logical or regional problems), and evolutionary algorithms can exploit this structure; and finally, the ability to store, mainipulate, and visualize spatial data has increased to the point that space-time attribute databases can be easily handled. This book is proposed to serve as a guide to the evolutionary modelling of spatial phenomena.
"synopsis" may belong to another edition of this title.
Clearly written and cutting edge, this book will appeal not only to GIS practitioners and researchers, but also to other professionals confronted by spatial problems. It may also serve as a primary textbook for college-level courses in GIS, advanced spatial modeling method and information
engineering, or as a supplementary textbook for computer science courses.
Clearly written and cutting edge, this book will appeal not only to GIS practitioners and researchers, but also to other professionals confronted by spatial problems. It may also serve as a primary textbook for college-level courses in GIS, advanced spatial modeling method and information
engineering, or as a supplementary textbook for computer science courses.
Clearly written and cutting edge, this book will appeal not only to GIS practitioners and researchers, but also to other professionals confronted by spatial problems. It may also serve as a primary textbook for college-level courses in GIS, advanced spatial modeling method and information engineering, or as a supplementary textbook for computer science courses.
Clearly written and cutting edge, this book will appeal not only to GIS practitioners and researchers, but also to other professionals confronted by spatial problems. It may also serve as a primary textbook for college-level courses in GIS, advanced spatial modeling method and information engineering, or as a supplementary textbook for computer science courses.
Clearly written and cutting edge, this book will appeal not only to GIS practitioners and researchers, but also to other professionals confronted by spatial problems. It may also serve as a primary textbook for college-level courses in GIS, advanced spatial modeling method and information engineering, or as a supplementary textbook for computer science courses.
Evolutionary models (e.g genetic algorithms, artificial life) are emerging as an important new tool for geographic information systems for a number of reasons. First, they are highly appropriate for modelling geographic phenomena; second, geographical problems are often spatially separate (broken down into logical or regional problems), and evolutionary algorithms can exploit this structure; and finally, the ability to store, manipulate, and visualize spatial data has increased to the point that space-time attribute databases can be easily handled. This book is proposed to serve as a guide to the evolutionary modelling of spatial phenomena.
"About this title" may belong to another edition of this title.
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Condition: New. Evolutionary models (e.g genetic algorithms, artificial life) are emerging as an important tool for geographic information systems for a number of reasons. This book is proposed to serve as a guide to the evolutionary modelling of spatial phenomena. Series: Spatial Information Systems. Num Pages: 272 pages, numerous tables and figures. BIC Classification: RGW; UGK. Category: (P) Professional & Vocational. Dimension: 243 x 162 x 20. Weight in Grams: 590. . 2001. Illustrated. hardcover. . . . . Seller Inventory # V9780195135688
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