Geocomputation, Sustainability and Environmental Planning

  • Beniamino Murgante
  • Giuseppe Borruso
  • Alessandra Lapucci

Part of the Studies in Computational Intelligence book series (SCI, volume 348)

Table of contents

  1. Front Matter
  2. Geocomputation, Sustainability and Environmental Planning

    1. Beniamino Murgante, Giuseppe Borruso, Alessandra Lapucci
      Pages 1-15
    2. Silvana Lombardo, Massimiliano Petri
      Pages 57-72
    3. Maria Danese, Gabriele Nolè, Beniamino Murgante
      Pages 73-89
    4. Pietro Lucia, Achille Palma, Beniamino Murgante, Carmela Miriam D’Alessandro, Adriano Sofo, Antonio Scopa
      Pages 123-144
    5. Marta G. Vivanco, Oier Azula, Inmaculada Palomino, Fernando Martín
      Pages 145-162
    6. Sergio Di Martino, Sandro Bimonte, Michela Bertolotto, Filomena Ferrucci, Vincenza Leano
      Pages 163-182
    7. Maurizio Cellura, Simona Culotta, Valerio Lo Brano, Antonino Marvuglia
      Pages 183-204
    8. Mikhail Kanevski, Vadim Timonin, Alexei Pozdnoukhov
      Pages 205-223
  3. Back Matter

About this book


The experience developed by Ian McHarg represents the first attempt to base environmental planning on more objective methods. In particular, he supposed that the real world can be considered as a layer cake and each layer represents a sectoral analysis. This metaphor represents the fundamental of overlay mapping. At the beginning, these principles have been applied only by hand, just considering the degree of darkness, produced by layer transparency, as a negative impact. In the following years, this craftmade approach, has been adopted for data organization in Geographical Information Systems producing analyses with a high level of quality and rigour. Nowadays, great part of studies in environmental planning field have been developed using GIS. The next step relative to the simple use of geographic information in supporting environmental planning is the adoption of spatial simulation models, which can predict the evolution of phenomena. As the use of spatial information has definitely improved the quality of data sets on which basing decision-making process, the use of Geostatistics, spatial simulation and, more generally, geocomputation methods allows the possibility of basing the decision-making process on predicted future scenarios. It is very strange that a discipline such as planning which programs the territory for the future years in great part of cases is not based on simulation models. Sectoral analyses, often based on surveys, are not enough to highlight dynamics of an area. Better knowing urban and environmental changes occurred in the past, it is possible to provide better simulations to predict possible tendencies.

The aim of this book is to provide an overview of the main methods and techniques adopted in the field of environmental geocomputation in order to produce a more sustainable development.


Computational Intelligence Geocomputation Sustainable Development

Editors and affiliations

  • Beniamino Murgante
    • 1
  • Giuseppe Borruso
    • 2
  • Alessandra Lapucci
    • 3
  1. 1.Department of Architecture Urban and Regional Planning Transport Planning and Infrastructure Laboratory of Urban and Territorial SystemsUniversity of BasilicataPotenzaItaly
  2. 2.Department of Education Science and Cultural ProcessesUniversity of TriesteTriesteItaly
  3. 3.Department of Civil Engineering Laboratory of Territorial and Environmental Systems EngineeringUniversity of PisaPisaItaly

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-19732-1
  • Online ISBN 978-3-642-19733-8
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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