Geocomputation has come of age. The whirlwind of change experienced in Geographical Information Science (GIS) - developments in IT, and new data gathering and earth observing technologies - has taken GIS beyond mere data and towards its analysis, modeling, and use in problem solving. Geocomputation is now at the dynamic edge of this revolution. Bringing together the leading researchers in geocomputation, this volume provides an up-to-date overview of the development of new artificial intelligence principles and technologies (NN, CA, Multi-agent Systems and Evolutionary Algorithms) used for the analysis, development and evaluation of urban planning policies and programmes. Charting the new approaches to data-processing, the book provides pointers on how to harness these technologies, advancing the knowledge level of planning by multiplying the information capacity of GIS, and offering a new approach to territorial modeling and micro-scale descriptions of socio-economic, behavioural and micro-spatial theories of urban processes and land use change.
Recenzijas
New methods of computation based on objects are giving us new insights into how cities grow and evolve. A new generation of urban models which fuse such techniques with advances in geographic information systems are the result. This book is as good a snapshot of the state of the art as you will find. Important reading for geographers, city planners and computer scientists alike. Professor Michael Batty, University College London, UK Evolving cities is a splendid example of how a spatially integrated social science can enhance our insights in urban dynamics. It is an exciting introduction to new methods handling complex geographical information, as neural networks or multi-agents systems. A group of European researchers at the cutting edge of their field demonstrate the usefulness of these new approaches in urban simulation and modelling. Students and researchers as well as technicians of urban planning will find...enlightening views. Professor Denise Pumain, Université Paris I, France and Editor of Cybergeo (European Journal of Geography) ...a well-structured book...a useful resource for those interested in GC issues as well as those interested in urban and regional dynamics. Environment and Planning B: Planning and Design
Contents: Introduction, Lidia Diappi. The Spatial Investigation
Capabilities of Neural Networks: Neural classifiers for land cover
recognition: merging radiometric and ancillary information, Silvio Griguolo;
Spatial interaction modelling: neural network methods and global
optimization, Manfred Fischer and Katerina Hlavackova-Schindler; Complexity
in sustainability: an investigation of the Italian urban system through self
reflexive neural networks, Lidia Diappi, Massimo Buscema and Michela OttanĆ .
Land Use Dynamics Through Artificial Intelligence Tools: Knowledge discovery
and data mining to investigate urban and territorial evolution: tools and
methodologies, Francesco Bonchi, Silvana Lombardo and Serena Pecori; Learning
about land use change in Rome and Pisa urban areas, Francesco Bonchi, Silvana
Lombardo, Serena Pecori and Alessandro Santucci; The identification and
simulation of the urban spatio-temporal dynamic: the case study of Rome,
Ferdinando Semboloni; Appendix: an overview of the SSI handbook, Robert
Gianassi; Land use dynamics: a stochastic forecasting model based on SOM
neural nets knowledge, Lidia Diappi and Paola Bolchi. Multi Agent Systems:
Interactions Among Actors and Their Behaviours: Multi agent simulations for
traffic in regional planning, Kai Nagel and Bryan Raney; Traffic-related air
pollution in an urban environment: a KBDSS for improving the decisional
context, Emilia Conte and Grazia Concilio; The chaotic nature of urban
neighbourhood evolution, Chris Webster; Index.
Lidia Diappi is a Professor in the Department of Architecture and Planning at the Polytechnic of Milan, Italy.
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