Geocomputation, Sustainability and Environmental Planning

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Murgante, Beniamino (Επιμελητής έκδοσης), Borruso, Giuseppe (Επιμελητής έκδοσης), Lapucci, Alessandra (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Σειρά: Studies in Computational Intelligence, 348
• Θέματα: Engineering.; Earth sciences.; Artificial intelligence.; Regional planning.; Urban planning.; Applied mathematics.; Engineering mathematics.; Environmental sciences.; Appl.Mathematics/Computational Methods of Engineering.; Landscape/Regional and Urban Planning.; Artificial Intelligence (incl. Robotics).; Math. Appl. in Environmental Science.; Earth Sciences, general.

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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• 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.