Geocomputation and Urban Planning

  • Beniamino Murgante
  • Giuseppe Borruso
  • Alessandra Lapucci

Part of the Studies in Computational Intelligence book series (SCI, volume 176)

Table of contents

  1. Front Matter
  2. Beniamino Murgante, Giuseppe Borruso, Alessandra Lapucci
    Pages 1-17
  3. Devis Tuia, Christian Kaiser, Antonio Da Cunha, Mikhail Kanevski
    Pages 19-36
  4. Silvestro Montrone, Paola Perchinunno, Antonia Di Giuro, Francesco Rotondo, Carmelo Maria Torre
    Pages 57-78
  5. Elke Moons, Tom Brijs, Geert Wets
    Pages 117-132
  6. Maria Danese, Gabriele Nolè, Beniamino Murgante
    Pages 133-146
  7. Christine Plumejeaud, Bogdan Moisuc, Sandro Bimonte, Marlène Villanova, Jérôme Gensel
    Pages 167-186
  8. Cláudio Carneiro, François Golay, Vitor Silva, Corinne Plazanet, Jong-Jin Park
    Pages 187-207
  9. Luciano Telesca, Rosa Coluzzi, Rosa Lasaponara
    Pages 209-222
  10. Christine Voiron-Canicio
    Pages 223-236
  11. Ivan Blecic, Arnaldo Cecchini, Giuseppe A. Trunfio
    Pages 237-253
  12. Alessandra Lapucci, Silvana Lombardo, Massimiliano Petri, Marco Rotonda
    Pages 255-279
  13. Back Matter

About this book

Introduction

Sixteen years ago, Franklin estimated that about 80% of data contain geo-referenced information. To date, the availability of geographic data and information is growing, together with the capacity of users to operate with IT tools and instruments. Spatial data infrastructures are growing and allow a wide number of users to rely on them. This growth has not been fully coupled to an increase of knowledge to support spatial decisions. Spatial analytical techniques, geographical analysis and modelling methods are therefore required to analyse data and to facilitate the decision process at all levels. Old geographical issues can find an answer thanks to new methods and instruments, while new issues are developing, challenging researchers towards new solutions. This volume aims to contribute to the development of new techniques and methods to improve the process of knowledge acquisition. The Geocomputational expression is related to the development and the application of new theories, methods and tools in order to provide better solutions to complex geographical problems. The geocomputational analysis discussed in this volume, could be classified according to three main domains of applications; the first one related to spatial decision support system and to spatial uncertainty, the second connected to artificial intelligence, the third based on all spatial statistics techniques.

Keywords

Computational Geography Geocomputation Segregation Suburbia Sustainable Development Urban Planning digital elevation model integration morphology

Editors and affiliations

  • Beniamino Murgante
    • 1
  • Giuseppe Borruso
    • 2
  • Alessandra Lapucci
    • 3
  1. 1.University of BasilicataPotenzaItaly
  2. 2.University of TriesteTriesteItaly
  3. 3.University of PisaPisaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-89930-3
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-89929-7
  • Online ISBN 978-3-540-89930-3
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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