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Geocomputation, Sustainability and Environmental Planning

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 ov...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Murgante, Beniamino (Editor ), Borruso, Giuseppe (Editor ), Lapucci, Alessandra (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Studies in Computational Intelligence, 348
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Sustainable Development: Concepts and Methods for Its Application in Urban and Environmental Planning
  • Urban Land-use Projections Supporting Adaptation Strategies to Climate Changes in the Coastal Zone
  • A Multiple Criteria Heuristic Solution Method for Locating Near to Optimal Contiguous and Compact Sites in Raster Maps
  • Renewable Energy Sources: The Case of Wind Farms Analysis
  • Identifying Viewshed: New Approaches to Visual Impact Assessment
  • Agricultural Terraced Landscapes in the Province of Trieste (Northeastern Italy)
  • Estimation of Population Density of Census Sectors Using Remote Sensing Data and Spatial Regression
  • Using Environmental Geostatistics for the Geochemical Characterization of Soils from the Polluted Site of National Interest of Tito (PZ - Italy)
  • Evaluating the Impact of Resolution on the Predictions of an Air Quality Model over Madrid area (Spain)
  • Spatial OnLine Analytical Processing of Geographic Data through the Google Earth Interface
  • Nonlinear Black-Box Models for Short-Term Forecasting of Air Temperature in the Town of Palermo
  • Automatic Mapping and Classification of Spatial Environmental Data
  • Detecting Landforms Using Quantitative Radar Roughness Characterization and Spectral Mixing Analysis
  • A framework of map comparison methods to evaluate geosimulation models from a geospatial perspective.