Spatial evolutionary modeling / Roman Krzanowski, Jonathan Raper.
Krzanowski, Roman| Call Number | 910.285 |
| Author | Krzanowski, Roman, author. |
| Title | Spatial evolutionary modeling / Roman Krzanowski, Jonathan Raper. |
| Physical Description | 1 online resource (xx, 244 pages) : illustrations (black and white), maps (black and white). |
| Series | Spatial information systems Oxford scholarship online |
| Notes | Previously issued in print: 2001. |
| Summary | 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 visualise 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. |
| Added Author | Raper, Jonathan, author. |
| Subject | GEOGRAPHIC INFORMATION SYSTEMS. GENETIC ALGORITHMS. MATHEMATICAL MODELS. |
| Multimedia |
Total Ratings:
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$a 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 visualise 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.
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| Summary | 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 visualise 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. |
| Notes | Previously issued in print: 2001. |
| Subject | GEOGRAPHIC INFORMATION SYSTEMS. GENETIC ALGORITHMS. MATHEMATICAL MODELS. |
| Multimedia |