GeocomputationRobert J. Abrahart, Stan Openshaw, Linda M. See Geocomputation is essentially the follow-on revolution from Geographic Information Science and is expected to gather speed and momentum in the first decade of the 21st century. It comes into use once a GIS database has been set up, with a digital data library, and expanded and linked to a global geographical two or three dimensional co-ordinate system. It exploits developments in IT and new data gathering and earth observing technologies, and takes the notion of GIS beyond data and towards its analysis, modelling, and use in problem solving. This book provides pointers on how to harness these technologies in tandem and in the context of multiple different subjects and problem areas. It seeks to establish the principles and set the foundations for subsequent growth. L |
Contents
| 1 | |
2 GeoComputation analysis and modern spatial data | 32 |
3 Parallel processing in geography | 48 |
4 Evaluating high performance computer systems from a GeoComputation perspective | 66 |
5 GeoComputation using cellular automata | 96 |
6 Geospatial expert systems | 129 |
7 Fuzzy modelling | 165 |
8 Neurocomputingtools for geographers | 192 |
10 Visualization as a tool for GeoComputation | 258 |
11 Spatial multimedia | 284 |
12 Fractal analysis of digital spatial data | 302 |
Appropriate methods and metrics for a new geography | 322 |
14 Integrating models and geographical informations systems | 340 |
15 Limits to modelling in the earth and environmental sciences | 374 |
16 GeoComputation research agendas and futures | 388 |
| 409 | |
a new approach to spatial model building | 222 |
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Common terms and phrases
algorithm allow analysis applications approach areas artificial associated become benchmark building cells cities communication complex computational Conference database datasets defined described distributed effects Environment Environmental equation error example existing expert systems Figure function fuzzy genetic GeoComputation Geographical Information Systems given hardware human implementation important increase input integration intelligence interaction interest International Internet involves issues knowledge limited machine means measure memory methods multimedia nature neighborhood neural networks objects Openshaw operations original output parallel parameters pattern performance Planning possible potential probability problem Proceedings processors produce programming represent representation rules scale Sensing shows simulation single space spatial specific statistical structures task techniques theory types understanding units University urban variables visualization
References to this book
A Research Agenda for Geographic Information Science Robert B. McMaster,E. Lynn Usery Limited preview - 2004 |