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Geocomputation and Urban Planning
Geocomputation, Sustainability and Environmental planning
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Computational Science and Its Applications 2009
Computational Science and Its Applications 2010
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GEOCOMPUTATION, SUSTAINABILITY AND ENVIRONMENTAL PLANNING

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Geocomputation, Sustainability and Environmental Planning

Editors: 
Beniamino Murgante, University of Basilicata, Italy
Giuseppe Borruso, University of Trieste, Italy
Alessandra Lappucci, University of Pisa, Italy

Description

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. 

Table of contents

  1. Sustainable Development: concepts and methods for its application in urban and environmental planning Beniamino Murgante, Giuseppe Borruso, Alessandra Lapucci
  2. Urban Land-use Projections supporting Adaptation Strategies to Climate Changes in the Coastal Zone, Henning Sten Hansen
  3. A Multiple Criteria Heuristic Solution Method for Locating Near to Optimal Contiguous and Compact Sites in Raster Maps Pablo Vanegas, Dirk Cattrysse, Jos Van Orshoven
  4. Renewable energy sources: the case of wind farms analysis, Silvana Lombardo, Massimiliano Petri
  5. Identifying Viewshed: new approaches to Visual Impact Assessment, Maria Danese, Gabriele Nolè, Beniamino Murgante
  6. Agricultural terraced landscapes in the Province of Trieste (Northeastern Italy)Giovanni Mauro
  7. Estimation of population density of census sectors using remote sensing data and spatial regression, Tessio Novack, Hermann Kux and Corina Freitas
  8. Using environmental geostatistics for the geochemical characterization of soils from the polluted site of national interest of Tito (PZ – Italy). Pietro Lucia, Achille Palma, Beniamino Murgante, Carmela Miriam D’Alessandro, Adriano Sofo, Antonio Scopa
  9. Evaluating the impact of resolution on the predictions of an air quality model over Madrid area (Spain) Marta G. Vivanco, Oier Azula, Inmaculada Palomino, Fernando Martín
  10. Spatial OnLine Analytical Processing of Geographic Data through the Google Earth Interface Sergio Di Martino, Sandro Bimonte, Michela Bertolotto, Filomena Ferrucci, Vincenza Leano
  11. Nonlinear black-box models for short-term forecasting of air temperature in the town of Palermo, Maurizio Cellura, Simona Culotta, Valerio Lo Brano, Antonino Marvuglia
  12. Automatic Mapping and Classification of Spatial Environmental Data, Mikhail Kanevski, Vadim Timonin, Alexei Pozdnoukhov
  13. Detecting Landforms Using Quantitative Radar Roughness Characterization and Spectral Mixing Analysis, Andrea Taramelli
  14. A framework of map comparison methods to evaluate geosimulation models from a geospatial perspective, Alex Hagen-Zanker, Pim Martens

More Details

Springer

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Geocomputation, Sustainability and Environmental Planning